diff options
| author | Fabian Mastenbroek <mail.fabianm@gmail.com> | 2021-04-25 16:01:14 +0200 |
|---|---|---|
| committer | Fabian Mastenbroek <mail.fabianm@gmail.com> | 2021-04-25 16:01:14 +0200 |
| commit | cd0b45627f0d8da8c8dc4edde223f3c36e9bcfbf (patch) | |
| tree | 6ae1681630a0e270c23804e6dbb3bd414ebe5d6e /simulator/opendc-experiments | |
| parent | 128a1db017545597a5c035b7960eb3fd36b5f987 (diff) | |
build: Migrate to flat project structure
This change updates the project structure to become flattened.
Previously, the simulator, frontend and API each lived into their own
directory.
With this change, all modules of the project live in the top-level
directory of the repository. This should improve discoverability of
modules of the project.
Diffstat (limited to 'simulator/opendc-experiments')
49 files changed, 0 insertions, 4576 deletions
diff --git a/simulator/opendc-experiments/build.gradle.kts b/simulator/opendc-experiments/build.gradle.kts deleted file mode 100644 index a1a751a2..00000000 --- a/simulator/opendc-experiments/build.gradle.kts +++ /dev/null @@ -1,21 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/.gitignore b/simulator/opendc-experiments/opendc-experiments-capelin/.gitignore deleted file mode 100644 index ba64707c..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -input/ -output/ diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/build.gradle.kts b/simulator/opendc-experiments/opendc-experiments-capelin/build.gradle.kts deleted file mode 100644 index b2d7cc30..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/build.gradle.kts +++ /dev/null @@ -1,52 +0,0 @@ -/* - * Copyright (c) 2019 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -description = "Experiments for the Capelin work" - -/* Build configuration */ -plugins { - `kotlin-library-conventions` - `experiment-conventions` - `testing-conventions` -} - -dependencies { - api(platform(project(":opendc-platform"))) - api(project(":opendc-harness")) - implementation(project(":opendc-format")) - implementation(project(":opendc-simulator:opendc-simulator-core")) - implementation(project(":opendc-simulator:opendc-simulator-compute")) - implementation(project(":opendc-simulator:opendc-simulator-failures")) - implementation(project(":opendc-compute:opendc-compute-simulator")) - - implementation("io.github.microutils:kotlin-logging") - implementation("me.tongfei:progressbar:${versions["progressbar"]}") - implementation("com.github.ajalt.clikt:clikt:${versions["clikt"]}") - - implementation("org.apache.parquet:parquet-avro:${versions["parquet-avro"]}") - implementation("org.apache.hadoop:hadoop-client:${versions["hadoop-client"]}") { - exclude(group = "org.slf4j", module = "slf4j-log4j12") - exclude(group = "log4j") - } - - implementation(project(":opendc-telemetry:opendc-telemetry-sdk")) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/CompositeWorkloadPortfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/CompositeWorkloadPortfolio.kt deleted file mode 100644 index faabe5cb..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/CompositeWorkloadPortfolio.kt +++ /dev/null @@ -1,79 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import org.opendc.experiments.capelin.model.CompositeWorkload -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.harness.dsl.anyOf - -/** - * A [Portfolio] that explores the effect of a composite workload. - */ -public class CompositeWorkloadPortfolio : Portfolio("composite-workload") { - private val totalSampleLoad = 1.3301733005049648E12 - - override val topology: Topology by anyOf( - Topology("base"), - Topology("exp-vol-hor-hom"), - Topology("exp-vol-ver-hom"), - Topology("exp-vel-ver-hom") - ) - - override val workload: Workload by anyOf( - CompositeWorkload( - "all-azure", - listOf(Workload("solvinity-short", 0.0), Workload("azure", 1.0)), - totalSampleLoad - ), - CompositeWorkload( - "solvinity-25-azure-75", - listOf(Workload("solvinity-short", 0.25), Workload("azure", 0.75)), - totalSampleLoad - ), - CompositeWorkload( - "solvinity-50-azure-50", - listOf(Workload("solvinity-short", 0.5), Workload("azure", 0.5)), - totalSampleLoad - ), - CompositeWorkload( - "solvinity-75-azure-25", - listOf(Workload("solvinity-short", 0.75), Workload("azure", 0.25)), - totalSampleLoad - ), - CompositeWorkload( - "all-solvinity", - listOf(Workload("solvinity-short", 1.0), Workload("azure", 0.0)), - totalSampleLoad - ) - ) - - override val operationalPhenomena: OperationalPhenomena by anyOf( - OperationalPhenomena(failureFrequency = 24.0 * 7, hasInterference = false) - ) - - override val allocationPolicy: String by anyOf( - "active-servers" - ) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ExperimentHelpers.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ExperimentHelpers.kt deleted file mode 100644 index 763234f8..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ExperimentHelpers.kt +++ /dev/null @@ -1,297 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import io.opentelemetry.api.metrics.MeterProvider -import io.opentelemetry.sdk.metrics.export.MetricProducer -import kotlinx.coroutines.* -import kotlinx.coroutines.channels.Channel -import mu.KotlinLogging -import org.opendc.compute.api.* -import org.opendc.compute.service.ComputeService -import org.opendc.compute.service.driver.Host -import org.opendc.compute.service.driver.HostListener -import org.opendc.compute.service.driver.HostState -import org.opendc.compute.service.scheduler.ComputeScheduler -import org.opendc.compute.simulator.SimHost -import org.opendc.experiments.capelin.monitor.ExperimentMetricExporter -import org.opendc.experiments.capelin.monitor.ExperimentMonitor -import org.opendc.experiments.capelin.trace.Sc20StreamingParquetTraceReader -import org.opendc.format.environment.EnvironmentReader -import org.opendc.format.trace.TraceReader -import org.opendc.simulator.compute.SimFairShareHypervisorProvider -import org.opendc.simulator.compute.interference.PerformanceInterferenceModel -import org.opendc.simulator.compute.workload.SimTraceWorkload -import org.opendc.simulator.compute.workload.SimWorkload -import org.opendc.simulator.failures.CorrelatedFaultInjector -import org.opendc.simulator.failures.FaultInjector -import org.opendc.telemetry.sdk.metrics.export.CoroutineMetricReader -import java.io.File -import java.time.Clock -import kotlin.coroutines.coroutineContext -import kotlin.coroutines.resume -import kotlin.math.ln -import kotlin.math.max -import kotlin.random.Random - -/** - * The logger for this experiment. - */ -private val logger = KotlinLogging.logger {} - -/** - * Construct the failure domain for the experiments. - */ -public fun createFailureDomain( - coroutineScope: CoroutineScope, - clock: Clock, - seed: Int, - failureInterval: Double, - service: ComputeService, - chan: Channel<Unit> -): CoroutineScope { - val job = coroutineScope.launch { - chan.receive() - val random = Random(seed) - val injectors = mutableMapOf<String, FaultInjector>() - for (host in service.hosts) { - val cluster = host.meta["cluster"] as String - val injector = - injectors.getOrPut(cluster) { - createFaultInjector( - this, - clock, - random, - failureInterval - ) - } - injector.enqueue(host as SimHost) - } - } - return CoroutineScope(coroutineScope.coroutineContext + job) -} - -/** - * Obtain the [FaultInjector] to use for the experiments. - */ -public fun createFaultInjector( - coroutineScope: CoroutineScope, - clock: Clock, - random: Random, - failureInterval: Double -): FaultInjector { - // Parameters from A. Iosup, A Framework for the Study of Grid Inter-Operation Mechanisms, 2009 - // GRID'5000 - return CorrelatedFaultInjector( - coroutineScope, - clock, - iatScale = ln(failureInterval), iatShape = 1.03, // Hours - sizeScale = ln(2.0), sizeShape = ln(1.0), // Expect 2 machines, with variation of 1 - dScale = ln(60.0), dShape = ln(60.0 * 8), // Minutes - random = random - ) -} - -/** - * Create the trace reader from which the VM workloads are read. - */ -public fun createTraceReader( - path: File, - performanceInterferenceModel: PerformanceInterferenceModel, - vms: List<String>, - seed: Int -): Sc20StreamingParquetTraceReader { - return Sc20StreamingParquetTraceReader( - path, - performanceInterferenceModel, - vms, - Random(seed) - ) -} - -/** - * Construct the environment for a simulated compute service.. - */ -public suspend fun withComputeService( - clock: Clock, - meterProvider: MeterProvider, - environmentReader: EnvironmentReader, - scheduler: ComputeScheduler, - block: suspend CoroutineScope.(ComputeService) -> Unit -): Unit = coroutineScope { - val hosts = environmentReader - .use { it.read() } - .map { def -> - SimHost( - def.uid, - def.name, - def.model, - def.meta, - coroutineContext, - clock, - meterProvider.get("opendc-compute-simulator"), - SimFairShareHypervisorProvider(), - def.powerModel - ) - } - - val serviceMeter = meterProvider.get("opendc-compute") - val service = - ComputeService(coroutineContext, clock, serviceMeter, scheduler) - - for (host in hosts) { - service.addHost(host) - } - - try { - block(this, service) - } finally { - service.close() - hosts.forEach(SimHost::close) - } -} - -/** - * Attach the specified monitor to the VM provisioner. - */ -@OptIn(ExperimentalCoroutinesApi::class) -public suspend fun withMonitor( - monitor: ExperimentMonitor, - clock: Clock, - metricProducer: MetricProducer, - scheduler: ComputeService, - block: suspend CoroutineScope.() -> Unit -): Unit = coroutineScope { - val monitorJobs = mutableSetOf<Job>() - - // Monitor host events - for (host in scheduler.hosts) { - monitor.reportHostStateChange(clock.millis(), host, HostState.UP) - host.addListener(object : HostListener { - override fun onStateChanged(host: Host, newState: HostState) { - monitor.reportHostStateChange(clock.millis(), host, newState) - } - }) - } - - val reader = CoroutineMetricReader( - this, - listOf(metricProducer), - ExperimentMetricExporter(monitor, clock, scheduler.hosts.associateBy { it.uid.toString() }), - exportInterval = 5 * 60 * 1000 /* Every 5 min (which is the granularity of the workload trace) */ - ) - - try { - block(this) - } finally { - monitorJobs.forEach(Job::cancel) - reader.close() - monitor.close() - } -} - -public class ComputeMetrics { - public var submittedVms: Int = 0 - public var queuedVms: Int = 0 - public var runningVms: Int = 0 - public var unscheduledVms: Int = 0 - public var finishedVms: Int = 0 -} - -/** - * Collect the metrics of the compute service. - */ -public fun collectMetrics(metricProducer: MetricProducer): ComputeMetrics { - val metrics = metricProducer.collectAllMetrics().associateBy { it.name } - val res = ComputeMetrics() - try { - // Hack to extract metrics from OpenTelemetry SDK - res.submittedVms = metrics["servers.submitted"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - res.queuedVms = metrics["servers.waiting"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - res.unscheduledVms = metrics["servers.unscheduled"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - res.runningVms = metrics["servers.active"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - res.finishedVms = metrics["servers.finished"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - } catch (cause: Throwable) { - logger.warn(cause) { "Failed to collect metrics" } - } - return res -} - -/** - * Process the trace. - */ -public suspend fun processTrace( - clock: Clock, - reader: TraceReader<SimWorkload>, - scheduler: ComputeService, - chan: Channel<Unit>, - monitor: ExperimentMonitor -) { - val client = scheduler.newClient() - val image = client.newImage("vm-image") - var offset = Long.MIN_VALUE - try { - coroutineScope { - while (reader.hasNext()) { - val entry = reader.next() - - if (offset < 0) { - offset = entry.start - clock.millis() - } - - delay(max(0, (entry.start - offset) - clock.millis())) - launch { - chan.send(Unit) - val workload = SimTraceWorkload((entry.meta["workload"] as SimTraceWorkload).trace) - val server = client.newServer( - entry.name, - image, - client.newFlavor( - entry.name, - entry.meta["cores"] as Int, - entry.meta["required-memory"] as Long - ), - meta = entry.meta + mapOf("workload" to workload) - ) - - suspendCancellableCoroutine { cont -> - server.watch(object : ServerWatcher { - override fun onStateChanged(server: Server, newState: ServerState) { - monitor.reportVmStateChange(clock.millis(), server, newState) - - if (newState == ServerState.TERMINATED || newState == ServerState.ERROR) { - cont.resume(Unit) - } - } - }) - } - } - } - } - - yield() - } finally { - reader.close() - client.close() - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/HorVerPortfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/HorVerPortfolio.kt deleted file mode 100644 index e1cf8517..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/HorVerPortfolio.kt +++ /dev/null @@ -1,60 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.harness.dsl.anyOf - -/** - * A [Portfolio] that explores the difference between horizontal and vertical scaling. - */ -public class HorVerPortfolio : Portfolio("horizontal_vs_vertical") { - override val topology: Topology by anyOf( - Topology("base"), - Topology("rep-vol-hor-hom"), - Topology("rep-vol-hor-het"), - Topology("rep-vol-ver-hom"), - Topology("rep-vol-ver-het"), - Topology("exp-vol-hor-hom"), - Topology("exp-vol-hor-het"), - Topology("exp-vol-ver-hom"), - Topology("exp-vol-ver-het") - ) - - override val workload: Workload by anyOf( - Workload("solvinity", 0.1), - Workload("solvinity", 0.25), - Workload("solvinity", 0.5), - Workload("solvinity", 1.0) - ) - - override val operationalPhenomena: OperationalPhenomena by anyOf( - OperationalPhenomena(failureFrequency = 24.0 * 7, hasInterference = true) - ) - - override val allocationPolicy: String by anyOf( - "active-servers" - ) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreHpcPortfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreHpcPortfolio.kt deleted file mode 100644 index a995e467..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreHpcPortfolio.kt +++ /dev/null @@ -1,59 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.SamplingStrategy -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.harness.dsl.anyOf - -/** - * A [Portfolio] to explore the effect of HPC workloads. - */ -public class MoreHpcPortfolio : Portfolio("more_hpc") { - override val topology: Topology by anyOf( - Topology("base"), - Topology("exp-vol-hor-hom"), - Topology("exp-vol-ver-hom"), - Topology("exp-vel-ver-hom") - ) - - override val workload: Workload by anyOf( - Workload("solvinity", 0.0, samplingStrategy = SamplingStrategy.HPC), - Workload("solvinity", 0.25, samplingStrategy = SamplingStrategy.HPC), - Workload("solvinity", 0.5, samplingStrategy = SamplingStrategy.HPC), - Workload("solvinity", 1.0, samplingStrategy = SamplingStrategy.HPC), - Workload("solvinity", 0.25, samplingStrategy = SamplingStrategy.HPC_LOAD), - Workload("solvinity", 0.5, samplingStrategy = SamplingStrategy.HPC_LOAD), - Workload("solvinity", 1.0, samplingStrategy = SamplingStrategy.HPC_LOAD) - ) - - override val operationalPhenomena: OperationalPhenomena by anyOf( - OperationalPhenomena(failureFrequency = 24.0 * 7, hasInterference = true) - ) - - override val allocationPolicy: String by anyOf( - "active-servers" - ) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreVelocityPortfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreVelocityPortfolio.kt deleted file mode 100644 index 49559e0e..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreVelocityPortfolio.kt +++ /dev/null @@ -1,56 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.harness.dsl.anyOf - -/** - * A [Portfolio] that explores the effect of adding more velocity to a cluster (e.g., faster machines). - */ -public class MoreVelocityPortfolio : Portfolio("more_velocity") { - override val topology: Topology by anyOf( - Topology("base"), - Topology("rep-vel-ver-hom"), - Topology("rep-vel-ver-het"), - Topology("exp-vel-ver-hom"), - Topology("exp-vel-ver-het") - ) - - override val workload: Workload by anyOf( - Workload("solvinity", 0.1), - Workload("solvinity", 0.25), - Workload("solvinity", 0.5), - Workload("solvinity", 1.0) - ) - - override val operationalPhenomena: OperationalPhenomena by anyOf( - OperationalPhenomena(failureFrequency = 24.0 * 7, hasInterference = true) - ) - - override val allocationPolicy: String by anyOf( - "active-servers" - ) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/OperationalPhenomenaPortfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/OperationalPhenomenaPortfolio.kt deleted file mode 100644 index 1aac4f9e..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/OperationalPhenomenaPortfolio.kt +++ /dev/null @@ -1,61 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.harness.dsl.anyOf - -/** - * A [Portfolio] that explores the effect of operational phenomena on metrics. - */ -public class OperationalPhenomenaPortfolio : Portfolio("operational_phenomena") { - override val topology: Topology by anyOf( - Topology("base") - ) - - override val workload: Workload by anyOf( - Workload("solvinity", 0.1), - Workload("solvinity", 0.25), - Workload("solvinity", 0.5), - Workload("solvinity", 1.0) - ) - - override val operationalPhenomena: OperationalPhenomena by anyOf( - OperationalPhenomena(failureFrequency = 24.0 * 7, hasInterference = true), - OperationalPhenomena(failureFrequency = 0.0, hasInterference = true), - OperationalPhenomena(failureFrequency = 24.0 * 7, hasInterference = false), - OperationalPhenomena(failureFrequency = 0.0, hasInterference = false) - ) - - override val allocationPolicy: String by anyOf( - "mem", - "mem-inv", - "core-mem", - "core-mem-inv", - "active-servers", - "active-servers-inv", - "random" - ) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/Portfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/Portfolio.kt deleted file mode 100644 index b969366c..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/Portfolio.kt +++ /dev/null @@ -1,233 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import io.opentelemetry.api.metrics.MeterProvider -import io.opentelemetry.sdk.metrics.SdkMeterProvider -import io.opentelemetry.sdk.metrics.export.MetricProducer -import kotlinx.coroutines.ExperimentalCoroutinesApi -import kotlinx.coroutines.cancel -import kotlinx.coroutines.channels.Channel -import mu.KotlinLogging -import org.opendc.compute.service.scheduler.* -import org.opendc.compute.service.scheduler.filters.ComputeCapabilitiesFilter -import org.opendc.compute.service.scheduler.filters.ComputeFilter -import org.opendc.compute.service.scheduler.weights.* -import org.opendc.experiments.capelin.model.CompositeWorkload -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.experiments.capelin.monitor.ParquetExperimentMonitor -import org.opendc.experiments.capelin.trace.Sc20ParquetTraceReader -import org.opendc.experiments.capelin.trace.Sc20RawParquetTraceReader -import org.opendc.format.environment.sc20.Sc20ClusterEnvironmentReader -import org.opendc.format.trace.PerformanceInterferenceModelReader -import org.opendc.harness.dsl.Experiment -import org.opendc.harness.dsl.anyOf -import org.opendc.simulator.core.runBlockingSimulation -import org.opendc.telemetry.sdk.toOtelClock -import java.io.File -import java.util.* -import java.util.concurrent.ConcurrentHashMap -import kotlin.random.asKotlinRandom - -/** - * A portfolio represents a collection of scenarios are tested for the work. - * - * @param name The name of the portfolio. - */ -public abstract class Portfolio(name: String) : Experiment(name) { - /** - * The logger for this portfolio instance. - */ - private val logger = KotlinLogging.logger {} - - /** - * The path to where the environments are located. - */ - private val environmentPath by anyOf(File("input/environments/")) - - /** - * The path to where the traces are located. - */ - private val tracePath by anyOf(File("input/traces/")) - - /** - * The path to where the output results should be written. - */ - private val outputPath by anyOf(File("output/")) - - /** - * The path to the original VM placements file. - */ - private val vmPlacements by anyOf(emptyMap<String, String>()) - - /** - * The path to the performance interference model. - */ - private val performanceInterferenceModel by anyOf<PerformanceInterferenceModelReader?>(null) - - /** - * The topology to test. - */ - public abstract val topology: Topology - - /** - * The workload to test. - */ - public abstract val workload: Workload - - /** - * The operational phenomenas to consider. - */ - public abstract val operationalPhenomena: OperationalPhenomena - - /** - * The allocation policies to consider. - */ - public abstract val allocationPolicy: String - - /** - * A map of trace readers. - */ - private val traceReaders = ConcurrentHashMap<String, Sc20RawParquetTraceReader>() - - /** - * Perform a single trial for this portfolio. - */ - @OptIn(ExperimentalCoroutinesApi::class) - override fun doRun(repeat: Int): Unit = runBlockingSimulation { - val seeder = Random(repeat.toLong()) - val environment = Sc20ClusterEnvironmentReader(File(environmentPath, "${topology.name}.txt")) - - val chan = Channel<Unit>(Channel.CONFLATED) - val allocationPolicy = createComputeScheduler(seeder) - - val meterProvider: MeterProvider = SdkMeterProvider - .builder() - .setClock(clock.toOtelClock()) - .build() - - val workload = workload - val workloadNames = if (workload is CompositeWorkload) { - workload.workloads.map { it.name } - } else { - listOf(workload.name) - } - - val rawReaders = workloadNames.map { workloadName -> - traceReaders.computeIfAbsent(workloadName) { - logger.info { "Loading trace $workloadName" } - Sc20RawParquetTraceReader(File(tracePath, workloadName)) - } - } - - val performanceInterferenceModel = performanceInterferenceModel - ?.takeIf { operationalPhenomena.hasInterference } - ?.construct(seeder.asKotlinRandom()) ?: emptyMap() - val trace = Sc20ParquetTraceReader(rawReaders, performanceInterferenceModel, workload, seeder.nextInt()) - - val monitor = ParquetExperimentMonitor( - outputPath, - "portfolio_id=$name/scenario_id=$id/run_id=$repeat", - 4096 - ) - - withComputeService(clock, meterProvider, environment, allocationPolicy) { scheduler -> - val failureDomain = if (operationalPhenomena.failureFrequency > 0) { - logger.debug("ENABLING failures") - createFailureDomain( - this, - clock, - seeder.nextInt(), - operationalPhenomena.failureFrequency, - scheduler, - chan - ) - } else { - null - } - - withMonitor(monitor, clock, meterProvider as MetricProducer, scheduler) { - processTrace( - clock, - trace, - scheduler, - chan, - monitor - ) - } - - failureDomain?.cancel() - } - - val monitorResults = collectMetrics(meterProvider as MetricProducer) - logger.debug { "Finish SUBMIT=${monitorResults.submittedVms} FAIL=${monitorResults.unscheduledVms} QUEUE=${monitorResults.queuedVms} RUNNING=${monitorResults.runningVms}" } - } - - /** - * Create the [ComputeScheduler] instance to use for the trial. - */ - private fun createComputeScheduler(seeder: Random): ComputeScheduler { - return when (allocationPolicy) { - "mem" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(MemoryWeigher() to -1.0) - ) - "mem-inv" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(MemoryWeigher() to -1.0) - ) - "core-mem" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(CoreMemoryWeigher() to -1.0) - ) - "core-mem-inv" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(CoreMemoryWeigher() to -1.0) - ) - "active-servers" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(ProvisionedCoresWeigher() to -1.0) - ) - "active-servers-inv" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(InstanceCountWeigher() to 1.0) - ) - "provisioned-cores" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(ProvisionedCoresWeigher() to -1.0) - ) - "provisioned-cores-inv" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(ProvisionedCoresWeigher() to 1.0) - ) - "random" -> FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(RandomWeigher(Random(seeder.nextLong())) to 1.0) - ) - "replay" -> ReplayScheduler(vmPlacements) - else -> throw IllegalArgumentException("Unknown policy $allocationPolicy") - } - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ReplayPortfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ReplayPortfolio.kt deleted file mode 100644 index b6d3b30c..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ReplayPortfolio.kt +++ /dev/null @@ -1,50 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.harness.dsl.anyOf - -/** - * A [Portfolio] that compares the original VM placements against our policies. - */ -public class ReplayPortfolio : Portfolio("replay") { - override val topology: Topology by anyOf( - Topology("base") - ) - - override val workload: Workload by anyOf( - Workload("solvinity", 1.0) - ) - - override val operationalPhenomena: OperationalPhenomena by anyOf( - OperationalPhenomena(failureFrequency = 0.0, hasInterference = false) - ) - - override val allocationPolicy: String by anyOf( - "replay", - "active-servers" - ) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/TestPortfolio.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/TestPortfolio.kt deleted file mode 100644 index 90840db8..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/TestPortfolio.kt +++ /dev/null @@ -1,47 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import org.opendc.experiments.capelin.model.OperationalPhenomena -import org.opendc.experiments.capelin.model.Topology -import org.opendc.experiments.capelin.model.Workload -import org.opendc.harness.dsl.anyOf - -/** - * A [Portfolio] to perform a simple test run. - */ -public class TestPortfolio : Portfolio("test") { - override val topology: Topology by anyOf( - Topology("base") - ) - - override val workload: Workload by anyOf( - Workload("solvinity", 1.0) - ) - - override val operationalPhenomena: OperationalPhenomena by anyOf( - OperationalPhenomena(failureFrequency = 24.0 * 7, hasInterference = true) - ) - - override val allocationPolicy: String by anyOf("active-servers") -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/OperationalPhenomena.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/OperationalPhenomena.kt deleted file mode 100644 index b53b3617..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/OperationalPhenomena.kt +++ /dev/null @@ -1,31 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.model - -/** - * Operation phenomena during experiments. - * - * @param failureFrequency The average time between failures in hours. - * @param hasInterference A flag to enable performance interference between VMs. - */ -public data class OperationalPhenomena(val failureFrequency: Double, val hasInterference: Boolean) diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Topology.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Topology.kt deleted file mode 100644 index fe16a294..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Topology.kt +++ /dev/null @@ -1,28 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.model - -/** - * The topology topology on which we test the workload. - */ -public data class Topology(val name: String) diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Workload.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Workload.kt deleted file mode 100644 index c4ddd158..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Workload.kt +++ /dev/null @@ -1,44 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.model - -public enum class SamplingStrategy { - REGULAR, - HPC, - HPC_LOAD -} - -/** - * A workload that is considered for a scenario. - */ -public open class Workload( - public open val name: String, - public val fraction: Double, - public val samplingStrategy: SamplingStrategy = SamplingStrategy.REGULAR -) - -/** - * A workload that is composed of multiple workloads. - */ -public class CompositeWorkload(override val name: String, public val workloads: List<Workload>, public val totalLoad: Double) : - Workload(name, -1.0) diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMetricExporter.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMetricExporter.kt deleted file mode 100644 index 5f8002e2..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMetricExporter.kt +++ /dev/null @@ -1,160 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.monitor - -import io.opentelemetry.sdk.common.CompletableResultCode -import io.opentelemetry.sdk.metrics.data.MetricData -import io.opentelemetry.sdk.metrics.export.MetricExporter -import org.opendc.compute.service.driver.Host -import java.time.Clock - -/** - * A [MetricExporter] that exports the metrics to the [ExperimentMonitor]. - */ -public class ExperimentMetricExporter( - private val monitor: ExperimentMonitor, - private val clock: Clock, - private val hosts: Map<String, Host> -) : MetricExporter { - override fun export(metrics: Collection<MetricData>): CompletableResultCode { - val metricsByName = metrics.associateBy { it.name } - reportHostMetrics(metricsByName) - reportProvisionerMetrics(metricsByName) - return CompletableResultCode.ofSuccess() - } - - private fun reportHostMetrics(metrics: Map<String, MetricData>) { - val hostMetrics = mutableMapOf<String, HostMetrics>() - hosts.mapValuesTo(hostMetrics) { HostMetrics() } - - mapDoubleSummary(metrics["cpu.demand"], hostMetrics) { m, v -> - m.cpuDemand = v - } - - mapDoubleSummary(metrics["cpu.usage"], hostMetrics) { m, v -> - m.cpuUsage = v - } - - mapDoubleSummary(metrics["power.usage"], hostMetrics) { m, v -> - m.powerDraw = v - } - - mapDoubleSummary(metrics["cpu.work.total"], hostMetrics) { m, v -> - m.requestedBurst = v.toLong() - } - - mapDoubleSummary(metrics["cpu.work.granted"], hostMetrics) { m, v -> - m.grantedBurst = v.toLong() - } - - mapDoubleSummary(metrics["cpu.work.overcommit"], hostMetrics) { m, v -> - m.overcommissionedBurst = v.toLong() - } - - mapDoubleSummary(metrics["cpu.work.interfered"], hostMetrics) { m, v -> - m.interferedBurst = v.toLong() - } - - mapLongSum(metrics["guests.active"], hostMetrics) { m, v -> - m.numberOfDeployedImages = v.toInt() - } - - for ((id, hostMetric) in hostMetrics) { - val host = hosts.getValue(id) - monitor.reportHostSlice( - clock.millis(), - hostMetric.requestedBurst, - hostMetric.grantedBurst, - hostMetric.overcommissionedBurst, - hostMetric.interferedBurst, - hostMetric.cpuUsage, - hostMetric.cpuDemand, - hostMetric.powerDraw, - hostMetric.numberOfDeployedImages, - host - ) - } - } - - private fun mapDoubleSummary(data: MetricData?, hostMetrics: MutableMap<String, HostMetrics>, block: (HostMetrics, Double) -> Unit) { - val points = data?.doubleSummaryData?.points ?: emptyList() - for (point in points) { - val uid = point.labels["host"] - val hostMetric = hostMetrics[uid] - - if (hostMetric != null) { - // Take the average of the summary - val avg = (point.percentileValues[0].value + point.percentileValues[1].value) / 2 - block(hostMetric, avg) - } - } - } - - private fun mapLongSum(data: MetricData?, hostMetrics: MutableMap<String, HostMetrics>, block: (HostMetrics, Long) -> Unit) { - val points = data?.longSumData?.points ?: emptyList() - for (point in points) { - val uid = point.labels["host"] - val hostMetric = hostMetrics[uid] - - if (hostMetric != null) { - block(hostMetric, point.value) - } - } - } - - private fun reportProvisionerMetrics(metrics: Map<String, MetricData>) { - val submittedVms = metrics["servers.submitted"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - val queuedVms = metrics["servers.waiting"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - val unscheduledVms = metrics["servers.unscheduled"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - val runningVms = metrics["servers.active"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - val finishedVms = metrics["servers.finished"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - val hosts = metrics["hosts.total"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - val availableHosts = metrics["hosts.available"]?.longSumData?.points?.last()?.value?.toInt() ?: 0 - - monitor.reportProvisionerMetrics( - clock.millis(), - hosts, - availableHosts, - submittedVms, - runningVms, - finishedVms, - queuedVms, - unscheduledVms - ) - } - - private class HostMetrics { - var requestedBurst: Long = 0 - var grantedBurst: Long = 0 - var overcommissionedBurst: Long = 0 - var interferedBurst: Long = 0 - var cpuUsage: Double = 0.0 - var cpuDemand: Double = 0.0 - var numberOfDeployedImages: Int = 0 - var powerDraw: Double = 0.0 - } - - override fun flush(): CompletableResultCode = CompletableResultCode.ofSuccess() - - override fun shutdown(): CompletableResultCode = CompletableResultCode.ofSuccess() -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMonitor.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMonitor.kt deleted file mode 100644 index 68631dee..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMonitor.kt +++ /dev/null @@ -1,74 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.monitor - -import org.opendc.compute.api.Server -import org.opendc.compute.api.ServerState -import org.opendc.compute.service.driver.Host -import org.opendc.compute.service.driver.HostState - -/** - * A monitor watches the events of an experiment. - */ -public interface ExperimentMonitor : AutoCloseable { - /** - * This method is invoked when the state of a VM changes. - */ - public fun reportVmStateChange(time: Long, server: Server, newState: ServerState) {} - - /** - * This method is invoked when the state of a host changes. - */ - public fun reportHostStateChange(time: Long, host: Host, newState: HostState) {} - - /** - * This method is invoked for a host for each slice that is finishes. - */ - public fun reportHostSlice( - time: Long, - requestedBurst: Long, - grantedBurst: Long, - overcommissionedBurst: Long, - interferedBurst: Long, - cpuUsage: Double, - cpuDemand: Double, - powerDraw: Double, - numberOfDeployedImages: Int, - host: Host - ) { - } - - /** - * This method is invoked for a provisioner event. - */ - public fun reportProvisionerMetrics( - time: Long, - totalHostCount: Int, - availableHostCount: Int, - totalVmCount: Int, - activeVmCount: Int, - inactiveVmCount: Int, - waitingVmCount: Int, - failedVmCount: Int - ) {} -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ParquetExperimentMonitor.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ParquetExperimentMonitor.kt deleted file mode 100644 index 983b4cff..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ParquetExperimentMonitor.kt +++ /dev/null @@ -1,118 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.monitor - -import mu.KotlinLogging -import org.opendc.compute.api.Server -import org.opendc.compute.api.ServerState -import org.opendc.compute.service.driver.Host -import org.opendc.compute.service.driver.HostState -import org.opendc.experiments.capelin.telemetry.HostEvent -import org.opendc.experiments.capelin.telemetry.ProvisionerEvent -import org.opendc.experiments.capelin.telemetry.parquet.ParquetHostEventWriter -import org.opendc.experiments.capelin.telemetry.parquet.ParquetProvisionerEventWriter -import java.io.File - -/** - * The logger instance to use. - */ -private val logger = KotlinLogging.logger {} - -/** - * An [ExperimentMonitor] that logs the events to a Parquet file. - */ -public class ParquetExperimentMonitor(base: File, partition: String, bufferSize: Int) : ExperimentMonitor { - private val hostWriter = ParquetHostEventWriter( - File(base, "host-metrics/$partition/data.parquet"), - bufferSize - ) - private val provisionerWriter = ParquetProvisionerEventWriter( - File(base, "provisioner-metrics/$partition/data.parquet"), - bufferSize - ) - - override fun reportVmStateChange(time: Long, server: Server, newState: ServerState) {} - - override fun reportHostStateChange(time: Long, host: Host, newState: HostState) { - logger.debug { "Host ${host.uid} changed state $newState [$time]" } - } - - override fun reportHostSlice( - time: Long, - requestedBurst: Long, - grantedBurst: Long, - overcommissionedBurst: Long, - interferedBurst: Long, - cpuUsage: Double, - cpuDemand: Double, - powerDraw: Double, - numberOfDeployedImages: Int, - host: Host - ) { - hostWriter.write( - HostEvent( - time, - 5 * 60 * 1000L, - host, - numberOfDeployedImages, - requestedBurst, - grantedBurst, - overcommissionedBurst, - interferedBurst, - cpuUsage, - cpuDemand, - powerDraw, - host.model.cpuCount - ) - ) - } - - override fun reportProvisionerMetrics( - time: Long, - totalHostCount: Int, - availableHostCount: Int, - totalVmCount: Int, - activeVmCount: Int, - inactiveVmCount: Int, - waitingVmCount: Int, - failedVmCount: Int - ) { - provisionerWriter.write( - ProvisionerEvent( - time, - totalHostCount, - availableHostCount, - totalVmCount, - activeVmCount, - inactiveVmCount, - waitingVmCount, - failedVmCount - ) - ) - } - - override fun close() { - hostWriter.close() - provisionerWriter.close() - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/Event.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/Event.kt deleted file mode 100644 index c29e116e..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/Event.kt +++ /dev/null @@ -1,35 +0,0 @@ -/* - * MIT License - * - * Copyright (c) 2020 atlarge-research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry - -/** - * An event that occurs within the system. - */ -public abstract class Event(public val name: String) { - /** - * The time of occurrence of this event. - */ - public abstract val timestamp: Long -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/HostEvent.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/HostEvent.kt deleted file mode 100644 index 899fc9b1..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/HostEvent.kt +++ /dev/null @@ -1,43 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry - -import org.opendc.compute.service.driver.Host - -/** - * A periodic report of the host machine metrics. - */ -public data class HostEvent( - override val timestamp: Long, - public val duration: Long, - public val host: Host, - public val vmCount: Int, - public val requestedBurst: Long, - public val grantedBurst: Long, - public val overcommissionedBurst: Long, - public val interferedBurst: Long, - public val cpuUsage: Double, - public val cpuDemand: Double, - public val powerDraw: Double, - public val cores: Int -) : Event("host-metrics") diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/ProvisionerEvent.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/ProvisionerEvent.kt deleted file mode 100644 index 539c9bc9..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/ProvisionerEvent.kt +++ /dev/null @@ -1,39 +0,0 @@ -/* - * MIT License - * - * Copyright (c) 2020 atlarge-research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry - -/** - * A periodic report of the provisioner's metrics. - */ -public data class ProvisionerEvent( - override val timestamp: Long, - public val totalHostCount: Int, - public val availableHostCount: Int, - public val totalVmCount: Int, - public val activeVmCount: Int, - public val inactiveVmCount: Int, - public val waitingVmCount: Int, - public val failedVmCount: Int -) : Event("provisioner-metrics") diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/RunEvent.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/RunEvent.kt deleted file mode 100644 index 6c8fc941..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/RunEvent.kt +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry - -import org.opendc.experiments.capelin.Portfolio - -/** - * A periodic report of the host machine metrics. - */ -public data class RunEvent( - val portfolio: Portfolio, - val repeat: Int, - override val timestamp: Long -) : Event("run") diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/VmEvent.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/VmEvent.kt deleted file mode 100644 index 7631f55f..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/VmEvent.kt +++ /dev/null @@ -1,41 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry - -import org.opendc.compute.api.Server - -/** - * A periodic report of a virtual machine's metrics. - */ -public data class VmEvent( - override val timestamp: Long, - public val duration: Long, - public val vm: Server, - public val host: Server, - public val requestedBurst: Long, - public val grantedBurst: Long, - public val overcommissionedBurst: Long, - public val interferedBurst: Long, - public val cpuUsage: Double, - public val cpuDemand: Double -) : Event("vm-metrics") diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetEventWriter.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetEventWriter.kt deleted file mode 100644 index 38930ee5..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetEventWriter.kt +++ /dev/null @@ -1,126 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry.parquet - -import mu.KotlinLogging -import org.apache.avro.Schema -import org.apache.avro.generic.GenericData -import org.apache.hadoop.fs.Path -import org.apache.parquet.avro.AvroParquetWriter -import org.apache.parquet.hadoop.metadata.CompressionCodecName -import org.opendc.experiments.capelin.telemetry.Event -import java.io.Closeable -import java.io.File -import java.util.concurrent.ArrayBlockingQueue -import java.util.concurrent.BlockingQueue -import kotlin.concurrent.thread - -/** - * The logging instance to use. - */ -private val logger = KotlinLogging.logger {} - -/** - * A writer that writes events in Parquet format. - */ -public open class ParquetEventWriter<in T : Event>( - private val path: File, - private val schema: Schema, - private val converter: (T, GenericData.Record) -> Unit, - private val bufferSize: Int = 4096 -) : Runnable, Closeable { - /** - * The writer to write the Parquet file. - */ - private val writer = AvroParquetWriter.builder<GenericData.Record>(Path(path.absolutePath)) - .withSchema(schema) - .withCompressionCodec(CompressionCodecName.SNAPPY) - .withPageSize(4 * 1024 * 1024) // For compression - .withRowGroupSize(16 * 1024 * 1024) // For write buffering (Page size) - .build() - - /** - * The queue of commands to process. - */ - private val queue: BlockingQueue<Action> = ArrayBlockingQueue(bufferSize) - - /** - * The thread that is responsible for writing the Parquet records. - */ - private val writerThread = thread(start = false, name = "parquet-writer") { run() } - - /** - * Write the specified metrics to the database. - */ - public fun write(event: T) { - queue.put(Action.Write(event)) - } - - /** - * Signal the writer to stop. - */ - public override fun close() { - queue.put(Action.Stop) - writerThread.join() - } - - init { - writerThread.start() - } - - /** - * Start the writer thread. - */ - override fun run() { - try { - loop@ while (true) { - val action = queue.take() - when (action) { - is Action.Stop -> break@loop - is Action.Write<*> -> { - val record = GenericData.Record(schema) - @Suppress("UNCHECKED_CAST") - converter(action.event as T, record) - writer.write(record) - } - } - } - } catch (e: Throwable) { - logger.error("Writer failed", e) - } finally { - writer.close() - } - } - - public sealed class Action { - /** - * A poison pill that will stop the writer thread. - */ - public object Stop : Action() - - /** - * Write the specified metrics to the database. - */ - public data class Write<out T : Event>(val event: T) : Action() - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetHostEventWriter.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetHostEventWriter.kt deleted file mode 100644 index c8fe1cb2..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetHostEventWriter.kt +++ /dev/null @@ -1,81 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry.parquet - -import org.apache.avro.Schema -import org.apache.avro.SchemaBuilder -import org.apache.avro.generic.GenericData -import org.opendc.experiments.capelin.telemetry.HostEvent -import java.io.File - -/** - * A Parquet event writer for [HostEvent]s. - */ -public class ParquetHostEventWriter(path: File, bufferSize: Int) : - ParquetEventWriter<HostEvent>(path, schema, convert, bufferSize) { - - override fun toString(): String = "host-writer" - - public companion object { - private val convert: (HostEvent, GenericData.Record) -> Unit = { event, record -> - // record.put("portfolio_id", event.run.parent.parent.id) - // record.put("scenario_id", event.run.parent.id) - // record.put("run_id", event.run.id) - record.put("host_id", event.host.name) - record.put("state", event.host.state.name) - record.put("timestamp", event.timestamp) - record.put("duration", event.duration) - record.put("vm_count", event.vmCount) - record.put("requested_burst", event.requestedBurst) - record.put("granted_burst", event.grantedBurst) - record.put("overcommissioned_burst", event.overcommissionedBurst) - record.put("interfered_burst", event.interferedBurst) - record.put("cpu_usage", event.cpuUsage) - record.put("cpu_demand", event.cpuDemand) - record.put("power_draw", event.powerDraw) - record.put("cores", event.cores) - } - - private val schema: Schema = SchemaBuilder - .record("host_metrics") - .namespace("org.opendc.experiments.sc20") - .fields() - // .name("portfolio_id").type().intType().noDefault() - // .name("scenario_id").type().intType().noDefault() - // .name("run_id").type().intType().noDefault() - .name("timestamp").type().longType().noDefault() - .name("duration").type().longType().noDefault() - .name("host_id").type().stringType().noDefault() - .name("state").type().stringType().noDefault() - .name("vm_count").type().intType().noDefault() - .name("requested_burst").type().longType().noDefault() - .name("granted_burst").type().longType().noDefault() - .name("overcommissioned_burst").type().longType().noDefault() - .name("interfered_burst").type().longType().noDefault() - .name("cpu_usage").type().doubleType().noDefault() - .name("cpu_demand").type().doubleType().noDefault() - .name("power_draw").type().doubleType().noDefault() - .name("cores").type().intType().noDefault() - .endRecord() - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetProvisionerEventWriter.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetProvisionerEventWriter.kt deleted file mode 100644 index 8feff8d9..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetProvisionerEventWriter.kt +++ /dev/null @@ -1,65 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry.parquet - -import org.apache.avro.Schema -import org.apache.avro.SchemaBuilder -import org.apache.avro.generic.GenericData -import org.opendc.experiments.capelin.telemetry.ProvisionerEvent -import java.io.File - -/** - * A Parquet event writer for [ProvisionerEvent]s. - */ -public class ParquetProvisionerEventWriter(path: File, bufferSize: Int) : - ParquetEventWriter<ProvisionerEvent>(path, schema, convert, bufferSize) { - - override fun toString(): String = "provisioner-writer" - - public companion object { - private val convert: (ProvisionerEvent, GenericData.Record) -> Unit = { event, record -> - record.put("timestamp", event.timestamp) - record.put("host_total_count", event.totalHostCount) - record.put("host_available_count", event.availableHostCount) - record.put("vm_total_count", event.totalVmCount) - record.put("vm_active_count", event.activeVmCount) - record.put("vm_inactive_count", event.inactiveVmCount) - record.put("vm_waiting_count", event.waitingVmCount) - record.put("vm_failed_count", event.failedVmCount) - } - - private val schema: Schema = SchemaBuilder - .record("provisioner_metrics") - .namespace("org.opendc.experiments.sc20") - .fields() - .name("timestamp").type().longType().noDefault() - .name("host_total_count").type().intType().noDefault() - .name("host_available_count").type().intType().noDefault() - .name("vm_total_count").type().intType().noDefault() - .name("vm_active_count").type().intType().noDefault() - .name("vm_inactive_count").type().intType().noDefault() - .name("vm_waiting_count").type().intType().noDefault() - .name("vm_failed_count").type().intType().noDefault() - .endRecord() - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetRunEventWriter.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetRunEventWriter.kt deleted file mode 100644 index 946410eb..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetRunEventWriter.kt +++ /dev/null @@ -1,72 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.telemetry.parquet - -import org.apache.avro.Schema -import org.apache.avro.SchemaBuilder -import org.apache.avro.generic.GenericData -import org.opendc.experiments.capelin.telemetry.RunEvent -import java.io.File - -/** - * A Parquet event writer for [RunEvent]s. - */ -public class ParquetRunEventWriter(path: File, bufferSize: Int) : - ParquetEventWriter<RunEvent>(path, schema, convert, bufferSize) { - - override fun toString(): String = "run-writer" - - public companion object { - private val convert: (RunEvent, GenericData.Record) -> Unit = { event, record -> - val portfolio = event.portfolio - record.put("portfolio_name", portfolio.name) - record.put("scenario_id", portfolio.id) - record.put("run_id", event.repeat) - record.put("topology", portfolio.topology.name) - record.put("workload_name", portfolio.workload.name) - record.put("workload_fraction", portfolio.workload.fraction) - record.put("workload_sampler", portfolio.workload.samplingStrategy) - record.put("allocation_policy", portfolio.allocationPolicy) - record.put("failure_frequency", portfolio.operationalPhenomena.failureFrequency) - record.put("interference", portfolio.operationalPhenomena.hasInterference) - record.put("seed", event.repeat) - } - - private val schema: Schema = SchemaBuilder - .record("runs") - .namespace("org.opendc.experiments.sc20") - .fields() - .name("portfolio_name").type().stringType().noDefault() - .name("scenario_id").type().intType().noDefault() - .name("run_id").type().intType().noDefault() - .name("topology").type().stringType().noDefault() - .name("workload_name").type().stringType().noDefault() - .name("workload_fraction").type().doubleType().noDefault() - .name("workload_sampler").type().stringType().noDefault() - .name("allocation_policy").type().stringType().noDefault() - .name("failure_frequency").type().doubleType().noDefault() - .name("interference").type().booleanType().noDefault() - .name("seed").type().intType().noDefault() - .endRecord() - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20ParquetTraceReader.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20ParquetTraceReader.kt deleted file mode 100644 index a8462a51..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20ParquetTraceReader.kt +++ /dev/null @@ -1,84 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.trace - -import org.opendc.experiments.capelin.model.CompositeWorkload -import org.opendc.experiments.capelin.model.Workload -import org.opendc.format.trace.TraceEntry -import org.opendc.format.trace.TraceReader -import org.opendc.simulator.compute.interference.IMAGE_PERF_INTERFERENCE_MODEL -import org.opendc.simulator.compute.interference.PerformanceInterferenceModel -import org.opendc.simulator.compute.workload.SimWorkload -import java.util.TreeSet - -/** - * A [TraceReader] for the internal VM workload trace format. - * - * @param reader The internal trace reader to use. - * @param performanceInterferenceModel The performance model covering the workload in the VM trace. - * @param run The run to which this reader belongs. - */ -@OptIn(ExperimentalStdlibApi::class) -public class Sc20ParquetTraceReader( - rawReaders: List<Sc20RawParquetTraceReader>, - performanceInterferenceModel: Map<String, PerformanceInterferenceModel>, - workload: Workload, - seed: Int -) : TraceReader<SimWorkload> { - /** - * The iterator over the actual trace. - */ - private val iterator: Iterator<TraceEntry<SimWorkload>> = - rawReaders - .map { it.read() } - .run { - if (workload is CompositeWorkload) { - this.zip(workload.workloads) - } else { - this.zip(listOf(workload)) - } - } - .map { sampleWorkload(it.first, workload, it.second, seed) } - .flatten() - .run { - // Apply performance interference model - if (performanceInterferenceModel.isEmpty()) - this - else { - map { entry -> - val id = entry.name - val relevantPerformanceInterferenceModelItems = - performanceInterferenceModel[id] ?: PerformanceInterferenceModel(TreeSet()) - - entry.copy(meta = entry.meta + mapOf(IMAGE_PERF_INTERFERENCE_MODEL to relevantPerformanceInterferenceModelItems)) - } - } - } - .iterator() - - override fun hasNext(): Boolean = iterator.hasNext() - - override fun next(): TraceEntry<SimWorkload> = iterator.next() - - override fun close() {} -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20RawParquetTraceReader.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20RawParquetTraceReader.kt deleted file mode 100644 index ffbf46d4..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20RawParquetTraceReader.kt +++ /dev/null @@ -1,157 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.trace - -import mu.KotlinLogging -import org.apache.avro.generic.GenericData -import org.apache.hadoop.fs.Path -import org.apache.parquet.avro.AvroParquetReader -import org.opendc.format.trace.TraceEntry -import org.opendc.format.trace.TraceReader -import org.opendc.simulator.compute.workload.SimTraceWorkload -import org.opendc.simulator.compute.workload.SimWorkload -import java.io.File -import java.util.UUID - -private val logger = KotlinLogging.logger {} - -/** - * A [TraceReader] for the internal VM workload trace format. - * - * @param path The directory of the traces. - */ -@OptIn(ExperimentalStdlibApi::class) -public class Sc20RawParquetTraceReader(private val path: File) { - /** - * Read the fragments into memory. - */ - private fun parseFragments(path: File): Map<String, List<SimTraceWorkload.Fragment>> { - @Suppress("DEPRECATION") - val reader = AvroParquetReader.builder<GenericData.Record>(Path(path.absolutePath, "trace.parquet")) - .disableCompatibility() - .build() - - val fragments = mutableMapOf<String, MutableList<SimTraceWorkload.Fragment>>() - - return try { - while (true) { - val record = reader.read() ?: break - - val id = record["id"].toString() - val duration = record["duration"] as Long - val cores = record["cores"] as Int - val cpuUsage = record["cpuUsage"] as Double - - val fragment = SimTraceWorkload.Fragment( - duration, - cpuUsage, - cores - ) - - fragments.getOrPut(id) { mutableListOf() }.add(fragment) - } - - fragments - } finally { - reader.close() - } - } - - /** - * Read the metadata into a workload. - */ - private fun parseMeta(path: File, fragments: Map<String, List<SimTraceWorkload.Fragment>>): List<TraceEntry<SimWorkload>> { - @Suppress("DEPRECATION") - val metaReader = AvroParquetReader.builder<GenericData.Record>(Path(path.absolutePath, "meta.parquet")) - .disableCompatibility() - .build() - - var counter = 0 - val entries = mutableListOf<TraceEntry<SimWorkload>>() - - return try { - while (true) { - val record = metaReader.read() ?: break - - val id = record["id"].toString() - if (!fragments.containsKey(id)) { - continue - } - - val submissionTime = record["submissionTime"] as Long - val endTime = record["endTime"] as Long - val maxCores = record["maxCores"] as Int - val requiredMemory = record["requiredMemory"] as Long - val uid = UUID.nameUUIDFromBytes("$id-${counter++}".toByteArray()) - - val vmFragments = fragments.getValue(id).asSequence() - val totalLoad = vmFragments.sumByDouble { it.usage } * 5 * 60 // avg MHz * duration = MFLOPs - val workload = SimTraceWorkload(vmFragments) - entries.add( - TraceEntry( - uid, id, submissionTime, workload, - mapOf( - "submit-time" to submissionTime, - "end-time" to endTime, - "total-load" to totalLoad, - "cores" to maxCores, - "required-memory" to requiredMemory, - "workload" to workload - ) - ) - ) - } - - entries - } catch (e: Exception) { - e.printStackTrace() - throw e - } finally { - metaReader.close() - } - } - - /** - * The entries in the trace. - */ - private val entries: List<TraceEntry<SimWorkload>> - - init { - val fragments = parseFragments(path) - entries = parseMeta(path, fragments) - } - - /** - * Read the entries in the trace. - */ - public fun read(): List<TraceEntry<SimWorkload>> = entries - - /** - * Create a [TraceReader] instance. - */ - public fun createReader(): TraceReader<SimWorkload> { - return object : TraceReader<SimWorkload>, Iterator<TraceEntry<SimWorkload>> by entries.iterator() { - override fun close() {} - } - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20StreamingParquetTraceReader.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20StreamingParquetTraceReader.kt deleted file mode 100644 index c5294b55..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20StreamingParquetTraceReader.kt +++ /dev/null @@ -1,284 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.trace - -import mu.KotlinLogging -import org.apache.avro.generic.GenericData -import org.apache.hadoop.fs.Path -import org.apache.parquet.avro.AvroParquetReader -import org.apache.parquet.filter2.compat.FilterCompat -import org.apache.parquet.filter2.predicate.FilterApi -import org.apache.parquet.filter2.predicate.Statistics -import org.apache.parquet.filter2.predicate.UserDefinedPredicate -import org.apache.parquet.io.api.Binary -import org.opendc.format.trace.TraceEntry -import org.opendc.format.trace.TraceReader -import org.opendc.simulator.compute.interference.IMAGE_PERF_INTERFERENCE_MODEL -import org.opendc.simulator.compute.interference.PerformanceInterferenceModel -import org.opendc.simulator.compute.workload.SimTraceWorkload -import org.opendc.simulator.compute.workload.SimWorkload -import java.io.File -import java.io.Serializable -import java.util.SortedSet -import java.util.TreeSet -import java.util.UUID -import java.util.concurrent.ArrayBlockingQueue -import kotlin.concurrent.thread -import kotlin.random.Random - -private val logger = KotlinLogging.logger {} - -/** - * A [TraceReader] for the internal VM workload trace format that streams workloads on the fly. - * - * @param traceFile The directory of the traces. - * @param performanceInterferenceModel The performance model covering the workload in the VM trace. - */ -@OptIn(ExperimentalStdlibApi::class) -public class Sc20StreamingParquetTraceReader( - traceFile: File, - performanceInterferenceModel: PerformanceInterferenceModel? = null, - selectedVms: List<String> = emptyList(), - random: Random -) : TraceReader<SimWorkload> { - /** - * The internal iterator to use for this reader. - */ - private val iterator: Iterator<TraceEntry<SimWorkload>> - - /** - * The intermediate buffer to store the read records in. - */ - private val queue = ArrayBlockingQueue<Pair<String, SimTraceWorkload.Fragment>>(1024) - - /** - * An optional filter for filtering the selected VMs - */ - private val filter = - if (selectedVms.isEmpty()) - null - else - FilterCompat.get( - FilterApi.userDefined( - FilterApi.binaryColumn("id"), - SelectedVmFilter( - TreeSet(selectedVms) - ) - ) - ) - - /** - * A poisonous fragment. - */ - private val poison = Pair("\u0000", SimTraceWorkload.Fragment(0, 0.0, 0)) - - /** - * The thread to read the records in. - */ - private val readerThread = thread(start = true, name = "sc20-reader") { - @Suppress("DEPRECATION") - val reader = AvroParquetReader.builder<GenericData.Record>(Path(traceFile.absolutePath, "trace.parquet")) - .disableCompatibility() - .run { if (filter != null) withFilter(filter) else this } - .build() - - try { - while (true) { - val record = reader.read() - - if (record == null) { - queue.put(poison) - break - } - - val id = record["id"].toString() - val duration = record["duration"] as Long - val cores = record["cores"] as Int - val cpuUsage = record["cpuUsage"] as Double - - val fragment = SimTraceWorkload.Fragment( - duration, - cpuUsage, - cores - ) - - queue.put(id to fragment) - } - } catch (e: InterruptedException) { - // Do not rethrow this - } finally { - reader.close() - } - } - - /** - * Fill the buffers with the VMs - */ - private fun pull(buffers: Map<String, List<MutableList<SimTraceWorkload.Fragment>>>) { - if (!hasNext) { - return - } - - val fragments = mutableListOf<Pair<String, SimTraceWorkload.Fragment>>() - queue.drainTo(fragments) - - for ((id, fragment) in fragments) { - if (id == poison.first) { - hasNext = false - return - } - buffers[id]?.forEach { it.add(fragment) } - } - } - - /** - * A flag to indicate whether the reader has more entries. - */ - private var hasNext: Boolean = true - - /** - * Initialize the reader. - */ - init { - val takenIds = mutableSetOf<UUID>() - val entries = mutableMapOf<String, GenericData.Record>() - val buffers = mutableMapOf<String, MutableList<MutableList<SimTraceWorkload.Fragment>>>() - - @Suppress("DEPRECATION") - val metaReader = AvroParquetReader.builder<GenericData.Record>(Path(traceFile.absolutePath, "meta.parquet")) - .disableCompatibility() - .run { if (filter != null) withFilter(filter) else this } - .build() - - while (true) { - val record = metaReader.read() ?: break - val id = record["id"].toString() - entries[id] = record - } - - metaReader.close() - - val selection = if (selectedVms.isEmpty()) entries.keys else selectedVms - - // Create the entry iterator - iterator = selection.asSequence() - .mapNotNull { entries[it] } - .mapIndexed { index, record -> - val id = record["id"].toString() - val submissionTime = record["submissionTime"] as Long - val endTime = record["endTime"] as Long - val maxCores = record["maxCores"] as Int - val requiredMemory = record["requiredMemory"] as Long - val uid = UUID.nameUUIDFromBytes("$id-$index".toByteArray()) - - assert(uid !in takenIds) - takenIds += uid - - logger.info("Processing VM $id") - - val internalBuffer = mutableListOf<SimTraceWorkload.Fragment>() - val externalBuffer = mutableListOf<SimTraceWorkload.Fragment>() - buffers.getOrPut(id) { mutableListOf() }.add(externalBuffer) - val fragments = sequence { - var time = submissionTime - repeat@ while (true) { - if (externalBuffer.isEmpty()) { - if (hasNext) { - pull(buffers) - continue - } else { - break - } - } - - internalBuffer.addAll(externalBuffer) - externalBuffer.clear() - - for (fragment in internalBuffer) { - yield(fragment) - - time += fragment.duration - if (time >= endTime) { - break@repeat - } - } - - internalBuffer.clear() - } - - buffers.remove(id) - } - val relevantPerformanceInterferenceModelItems = - if (performanceInterferenceModel != null) - PerformanceInterferenceModel( - performanceInterferenceModel.items.filter { it.workloadNames.contains(id) }.toSortedSet(), - Random(random.nextInt()) - ) - else - null - val workload = SimTraceWorkload(fragments) - val meta = mapOf( - "cores" to maxCores, - "required-memory" to requiredMemory, - "workload" to workload - ) - - TraceEntry( - uid, id, submissionTime, workload, - if (performanceInterferenceModel != null) - meta + mapOf(IMAGE_PERF_INTERFERENCE_MODEL to relevantPerformanceInterferenceModelItems as Any) - else - meta - ) - } - .sortedBy { it.start } - .toList() - .iterator() - } - - override fun hasNext(): Boolean = iterator.hasNext() - - override fun next(): TraceEntry<SimWorkload> = iterator.next() - - override fun close() { - readerThread.interrupt() - } - - private class SelectedVmFilter(val selectedVms: SortedSet<String>) : UserDefinedPredicate<Binary>(), Serializable { - override fun keep(value: Binary?): Boolean = value != null && selectedVms.contains(value.toStringUsingUTF8()) - - override fun canDrop(statistics: Statistics<Binary>): Boolean { - val min = statistics.min - val max = statistics.max - - return selectedVms.subSet(min.toStringUsingUTF8(), max.toStringUsingUTF8() + "\u0000").isEmpty() - } - - override fun inverseCanDrop(statistics: Statistics<Binary>): Boolean { - val min = statistics.min - val max = statistics.max - - return selectedVms.subSet(min.toStringUsingUTF8(), max.toStringUsingUTF8() + "\u0000").isNotEmpty() - } - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20TraceConverter.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20TraceConverter.kt deleted file mode 100644 index 7713c06f..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20TraceConverter.kt +++ /dev/null @@ -1,621 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.trace - -import com.github.ajalt.clikt.core.CliktCommand -import com.github.ajalt.clikt.parameters.arguments.argument -import com.github.ajalt.clikt.parameters.groups.OptionGroup -import com.github.ajalt.clikt.parameters.groups.groupChoice -import com.github.ajalt.clikt.parameters.options.convert -import com.github.ajalt.clikt.parameters.options.default -import com.github.ajalt.clikt.parameters.options.defaultLazy -import com.github.ajalt.clikt.parameters.options.option -import com.github.ajalt.clikt.parameters.options.required -import com.github.ajalt.clikt.parameters.options.split -import com.github.ajalt.clikt.parameters.types.file -import com.github.ajalt.clikt.parameters.types.long -import me.tongfei.progressbar.ProgressBar -import org.apache.avro.Schema -import org.apache.avro.SchemaBuilder -import org.apache.avro.generic.GenericData -import org.apache.hadoop.fs.Path -import org.apache.parquet.avro.AvroParquetWriter -import org.apache.parquet.hadoop.ParquetWriter -import org.apache.parquet.hadoop.metadata.CompressionCodecName -import org.opendc.format.trace.sc20.Sc20VmPlacementReader -import java.io.BufferedReader -import java.io.File -import java.io.FileReader -import java.util.Random -import kotlin.math.max -import kotlin.math.min - -/** - * Represents the command for converting traces - */ -public class TraceConverterCli : CliktCommand(name = "trace-converter") { - /** - * The directory where the trace should be stored. - */ - private val outputPath by option("-O", "--output", help = "path to store the trace") - .file(canBeFile = false, mustExist = false) - .defaultLazy { File("output") } - - /** - * The directory where the input trace is located. - */ - private val inputPath by argument("input", help = "path to the input trace") - .file(canBeFile = false) - - /** - * The input type of the trace. - */ - private val type by option("-t", "--type", help = "input type of trace").groupChoice( - "solvinity" to SolvinityConversion(), - "bitbrains" to BitbrainsConversion(), - "azure" to AzureConversion() - ) - - override fun run() { - val metaSchema = SchemaBuilder - .record("meta") - .namespace("org.opendc.format.sc20") - .fields() - .name("id").type().stringType().noDefault() - .name("submissionTime").type().longType().noDefault() - .name("endTime").type().longType().noDefault() - .name("maxCores").type().intType().noDefault() - .name("requiredMemory").type().longType().noDefault() - .endRecord() - val schema = SchemaBuilder - .record("trace") - .namespace("org.opendc.format.sc20") - .fields() - .name("id").type().stringType().noDefault() - .name("time").type().longType().noDefault() - .name("duration").type().longType().noDefault() - .name("cores").type().intType().noDefault() - .name("cpuUsage").type().doubleType().noDefault() - .name("flops").type().longType().noDefault() - .endRecord() - - val metaParquet = File(outputPath, "meta.parquet") - val traceParquet = File(outputPath, "trace.parquet") - - if (metaParquet.exists()) { - metaParquet.delete() - } - if (traceParquet.exists()) { - traceParquet.delete() - } - - val metaWriter = AvroParquetWriter.builder<GenericData.Record>(Path(metaParquet.toURI())) - .withSchema(metaSchema) - .withCompressionCodec(CompressionCodecName.SNAPPY) - .withPageSize(4 * 1024 * 1024) // For compression - .withRowGroupSize(16 * 1024 * 1024) // For write buffering (Page size) - .build() - - val writer = AvroParquetWriter.builder<GenericData.Record>(Path(traceParquet.toURI())) - .withSchema(schema) - .withCompressionCodec(CompressionCodecName.SNAPPY) - .withPageSize(4 * 1024 * 1024) // For compression - .withRowGroupSize(16 * 1024 * 1024) // For write buffering (Page size) - .build() - - try { - val type = type ?: throw IllegalArgumentException("Invalid trace conversion") - val allFragments = type.read(inputPath, metaSchema, metaWriter) - allFragments.sortWith(compareBy<Fragment> { it.tick }.thenBy { it.id }) - - for (fragment in allFragments) { - val record = GenericData.Record(schema) - record.put("id", fragment.id) - record.put("time", fragment.tick) - record.put("duration", fragment.duration) - record.put("cores", fragment.cores) - record.put("cpuUsage", fragment.usage) - record.put("flops", fragment.flops) - - writer.write(record) - } - } finally { - writer.close() - metaWriter.close() - } - } -} - -/** - * The supported trace conversions. - */ -public sealed class TraceConversion(name: String) : OptionGroup(name) { - /** - * Read the fragments of the trace. - */ - public abstract fun read( - traceDirectory: File, - metaSchema: Schema, - metaWriter: ParquetWriter<GenericData.Record> - ): MutableList<Fragment> -} - -public class SolvinityConversion : TraceConversion("Solvinity") { - private val clusters by option() - .split(",") - - private val vmPlacements by option("--vm-placements", help = "file containing the VM placements") - .file(canBeDir = false) - .convert { it.inputStream().buffered().use { Sc20VmPlacementReader(it).construct() } } - .required() - - override fun read( - traceDirectory: File, - metaSchema: Schema, - metaWriter: ParquetWriter<GenericData.Record> - ): MutableList<Fragment> { - val clusters = clusters?.toSet() ?: emptySet() - val timestampCol = 0 - val cpuUsageCol = 1 - val coreCol = 12 - val provisionedMemoryCol = 20 - val traceInterval = 5 * 60 * 1000L - - // Identify start time of the entire trace - var minTimestamp = Long.MAX_VALUE - traceDirectory.walk() - .filterNot { it.isDirectory } - .filter { it.extension == "csv" || it.extension == "txt" } - .toList() - .forEach file@{ vmFile -> - BufferedReader(FileReader(vmFile)).use { reader -> - reader.lineSequence() - .chunked(128) - .forEach { lines -> - for (line in lines) { - // Ignore comments in the trace - if (line.startsWith("#") || line.isBlank()) { - continue - } - - val vmId = vmFile.name - - // Check if VM in topology - val clusterName = vmPlacements[vmId] - if (clusterName == null || !clusters.contains(clusterName)) { - continue - } - - val values = line.split("\t") - val timestamp = (values[timestampCol].trim().toLong() - 5 * 60) * 1000L - - if (timestamp < minTimestamp) { - minTimestamp = timestamp - } - return@file - } - } - } - } - - println("Start of trace at $minTimestamp") - - val allFragments = mutableListOf<Fragment>() - - val begin = 15 * 24 * 60 * 60 * 1000L - val end = 45 * 24 * 60 * 60 * 1000L - - traceDirectory.walk() - .filterNot { it.isDirectory } - .filter { it.extension == "csv" || it.extension == "txt" } - .toList() - .forEach { vmFile -> - println(vmFile) - - var vmId = "" - var maxCores = -1 - var requiredMemory = -1L - var cores: Int - var minTime = Long.MAX_VALUE - - val flopsFragments = sequence { - var last: Fragment? = null - - BufferedReader(FileReader(vmFile)).use { reader -> - reader.lineSequence() - .chunked(128) - .forEach { lines -> - for (line in lines) { - // Ignore comments in the trace - if (line.startsWith("#") || line.isBlank()) { - continue - } - - val values = line.split("\t") - - vmId = vmFile.name - - // Check if VM in topology - val clusterName = vmPlacements[vmId] - if (clusterName == null || !clusters.contains(clusterName)) { - continue - } - - val timestamp = - (values[timestampCol].trim().toLong() - 5 * 60) * 1000L - minTimestamp - if (begin > timestamp || timestamp > end) { - continue - } - - cores = values[coreCol].trim().toInt() - requiredMemory = max(requiredMemory, values[provisionedMemoryCol].trim().toLong()) - maxCores = max(maxCores, cores) - minTime = min(minTime, timestamp) - val cpuUsage = values[cpuUsageCol].trim().toDouble() // MHz - requiredMemory = max(requiredMemory, values[provisionedMemoryCol].trim().toLong()) - maxCores = max(maxCores, cores) - - val flops: Long = (cpuUsage * 5 * 60).toLong() - - last = if (last != null && last!!.flops == 0L && flops == 0L) { - val oldFragment = last!! - Fragment( - vmId, - oldFragment.tick, - oldFragment.flops + flops, - oldFragment.duration + traceInterval, - cpuUsage, - cores - ) - } else { - val fragment = - Fragment( - vmId, - timestamp, - flops, - traceInterval, - cpuUsage, - cores - ) - if (last != null) { - yield(last!!) - } - fragment - } - } - } - } - - if (last != null) { - yield(last!!) - } - } - - var maxTime = Long.MIN_VALUE - flopsFragments.filter { it.tick in begin until end }.forEach { fragment -> - allFragments.add(fragment) - maxTime = max(maxTime, fragment.tick) - } - - if (minTime in begin until end) { - val metaRecord = GenericData.Record(metaSchema) - metaRecord.put("id", vmId) - metaRecord.put("submissionTime", minTime) - metaRecord.put("endTime", maxTime) - metaRecord.put("maxCores", maxCores) - metaRecord.put("requiredMemory", requiredMemory) - metaWriter.write(metaRecord) - } - } - - return allFragments - } -} - -/** - * Conversion of the Bitbrains public trace. - */ -public class BitbrainsConversion : TraceConversion("Bitbrains") { - override fun read( - traceDirectory: File, - metaSchema: Schema, - metaWriter: ParquetWriter<GenericData.Record> - ): MutableList<Fragment> { - val timestampCol = 0 - val cpuUsageCol = 3 - val coreCol = 1 - val provisionedMemoryCol = 5 - val traceInterval = 5 * 60 * 1000L - - val allFragments = mutableListOf<Fragment>() - - traceDirectory.walk() - .filterNot { it.isDirectory } - .filter { it.extension == "csv" || it.extension == "txt" } - .toList() - .forEach { vmFile -> - println(vmFile) - - var vmId = "" - var maxCores = -1 - var requiredMemory = -1L - var cores: Int - var minTime = Long.MAX_VALUE - - val flopsFragments = sequence { - var last: Fragment? = null - - BufferedReader(FileReader(vmFile)).use { reader -> - reader.lineSequence() - .drop(1) - .chunked(128) - .forEach { lines -> - for (line in lines) { - // Ignore comments in the trace - if (line.startsWith("#") || line.isBlank()) { - continue - } - - val values = line.split(";\t") - - vmId = vmFile.name - - val timestamp = (values[timestampCol].trim().toLong() - 5 * 60) * 1000L - - cores = values[coreCol].trim().toInt() - val provisionedMemory = values[provisionedMemoryCol].trim().toDouble() // KB - requiredMemory = max(requiredMemory, (provisionedMemory / 1000).toLong()) - maxCores = max(maxCores, cores) - minTime = min(minTime, timestamp) - val cpuUsage = values[cpuUsageCol].trim().toDouble() // MHz - - val flops: Long = (cpuUsage * 5 * 60).toLong() - - last = if (last != null && last!!.flops == 0L && flops == 0L) { - val oldFragment = last!! - Fragment( - vmId, - oldFragment.tick, - oldFragment.flops + flops, - oldFragment.duration + traceInterval, - cpuUsage, - cores - ) - } else { - val fragment = - Fragment( - vmId, - timestamp, - flops, - traceInterval, - cpuUsage, - cores - ) - if (last != null) { - yield(last!!) - } - fragment - } - } - } - } - - if (last != null) { - yield(last!!) - } - } - - var maxTime = Long.MIN_VALUE - flopsFragments.forEach { fragment -> - allFragments.add(fragment) - maxTime = max(maxTime, fragment.tick) - } - - val metaRecord = GenericData.Record(metaSchema) - metaRecord.put("id", vmId) - metaRecord.put("submissionTime", minTime) - metaRecord.put("endTime", maxTime) - metaRecord.put("maxCores", maxCores) - metaRecord.put("requiredMemory", requiredMemory) - metaWriter.write(metaRecord) - } - - return allFragments - } -} - -/** - * Conversion of the Azure public VM trace. - */ -public class AzureConversion : TraceConversion("Azure") { - private val seed by option(help = "seed for trace sampling") - .long() - .default(0) - - override fun read( - traceDirectory: File, - metaSchema: Schema, - metaWriter: ParquetWriter<GenericData.Record> - ): MutableList<Fragment> { - val random = Random(seed) - val fraction = 0.01 - - // Read VM table - val vmIdTableCol = 0 - val coreTableCol = 9 - val provisionedMemoryTableCol = 10 - - var vmId: String - var cores: Int - var requiredMemory: Long - - val vmIds = mutableSetOf<String>() - val vmIdToMetadata = mutableMapOf<String, VmInfo>() - - BufferedReader(FileReader(File(traceDirectory, "vmtable.csv"))).use { reader -> - reader.lineSequence() - .chunked(1024) - .forEach { lines -> - for (line in lines) { - // Ignore comments in the trace - if (line.startsWith("#") || line.isBlank()) { - continue - } - // Sample only a fraction of the VMs - if (random.nextDouble() > fraction) { - continue - } - - val values = line.split(",") - - // Exclude VMs with a large number of cores (not specified exactly) - if (values[coreTableCol].contains(">")) { - continue - } - - vmId = values[vmIdTableCol].trim() - cores = values[coreTableCol].trim().toInt() - requiredMemory = values[provisionedMemoryTableCol].trim().toInt() * 1_000L // GB -> MB - - vmIds.add(vmId) - vmIdToMetadata[vmId] = VmInfo(cores, requiredMemory, Long.MAX_VALUE, -1L) - } - } - } - - // Read VM metric reading files - val timestampCol = 0 - val vmIdCol = 1 - val cpuUsageCol = 4 - val traceInterval = 5 * 60 * 1000L - - val vmIdToFragments = mutableMapOf<String, MutableList<Fragment>>() - val vmIdToLastFragment = mutableMapOf<String, Fragment?>() - val allFragments = mutableListOf<Fragment>() - - for (i in ProgressBar.wrap((1..195).toList(), "Reading Trace")) { - val readingsFile = File(File(traceDirectory, "readings"), "readings-$i.csv") - var timestamp: Long - var cpuUsage: Double - - BufferedReader(FileReader(readingsFile)).use { reader -> - reader.lineSequence() - .chunked(128) - .forEach { lines -> - for (line in lines) { - // Ignore comments in the trace - if (line.startsWith("#") || line.isBlank()) { - continue - } - - val values = line.split(",") - vmId = values[vmIdCol].trim() - - // Ignore readings for VMs not in the sample - if (!vmIds.contains(vmId)) { - continue - } - - timestamp = values[timestampCol].trim().toLong() * 1000L - vmIdToMetadata[vmId]!!.minTime = min(vmIdToMetadata[vmId]!!.minTime, timestamp) - cpuUsage = values[cpuUsageCol].trim().toDouble() * 3_000 // MHz - vmIdToMetadata[vmId]!!.maxTime = max(vmIdToMetadata[vmId]!!.maxTime, timestamp) - - val flops: Long = (cpuUsage * 5 * 60).toLong() - val lastFragment = vmIdToLastFragment[vmId] - - vmIdToLastFragment[vmId] = - if (lastFragment != null && lastFragment.flops == 0L && flops == 0L) { - Fragment( - vmId, - lastFragment.tick, - lastFragment.flops + flops, - lastFragment.duration + traceInterval, - cpuUsage, - vmIdToMetadata[vmId]!!.cores - ) - } else { - val fragment = - Fragment( - vmId, - timestamp, - flops, - traceInterval, - cpuUsage, - vmIdToMetadata[vmId]!!.cores - ) - if (lastFragment != null) { - if (vmIdToFragments[vmId] == null) { - vmIdToFragments[vmId] = mutableListOf() - } - vmIdToFragments[vmId]!!.add(lastFragment) - allFragments.add(lastFragment) - } - fragment - } - } - } - } - } - - for (entry in vmIdToLastFragment) { - if (entry.value != null) { - if (vmIdToFragments[entry.key] == null) { - vmIdToFragments[entry.key] = mutableListOf() - } - vmIdToFragments[entry.key]!!.add(entry.value!!) - } - } - - println("Read ${vmIdToLastFragment.size} VMs") - - for (entry in vmIdToMetadata) { - val metaRecord = GenericData.Record(metaSchema) - metaRecord.put("id", entry.key) - metaRecord.put("submissionTime", entry.value.minTime) - metaRecord.put("endTime", entry.value.maxTime) - println("${entry.value.minTime} - ${entry.value.maxTime}") - metaRecord.put("maxCores", entry.value.cores) - metaRecord.put("requiredMemory", entry.value.requiredMemory) - metaWriter.write(metaRecord) - } - - return allFragments - } -} - -public data class Fragment( - public val id: String, - public val tick: Long, - public val flops: Long, - public val duration: Long, - public val usage: Double, - public val cores: Int -) - -public class VmInfo(public val cores: Int, public val requiredMemory: Long, public var minTime: Long, public var maxTime: Long) - -/** - * A script to convert a trace in text format into a Parquet trace. - */ -public fun main(args: Array<String>): Unit = TraceConverterCli().main(args) diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/WorkloadSampler.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/WorkloadSampler.kt deleted file mode 100644 index 5c8727ea..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/WorkloadSampler.kt +++ /dev/null @@ -1,199 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin.trace - -import mu.KotlinLogging -import org.opendc.experiments.capelin.model.CompositeWorkload -import org.opendc.experiments.capelin.model.SamplingStrategy -import org.opendc.experiments.capelin.model.Workload -import org.opendc.format.trace.TraceEntry -import org.opendc.simulator.compute.workload.SimWorkload -import java.util.* -import kotlin.random.Random - -private val logger = KotlinLogging.logger {} - -/** - * Sample the workload for the specified [run]. - */ -public fun sampleWorkload( - trace: List<TraceEntry<SimWorkload>>, - workload: Workload, - subWorkload: Workload, - seed: Int -): List<TraceEntry<SimWorkload>> { - return when { - workload is CompositeWorkload -> sampleRegularWorkload(trace, workload, subWorkload, seed) - workload.samplingStrategy == SamplingStrategy.HPC -> - sampleHpcWorkload(trace, workload, seed, sampleOnLoad = false) - workload.samplingStrategy == SamplingStrategy.HPC_LOAD -> - sampleHpcWorkload(trace, workload, seed, sampleOnLoad = true) - else -> - sampleRegularWorkload(trace, workload, workload, seed) - } -} - -/** - * Sample a regular (non-HPC) workload. - */ -public fun sampleRegularWorkload( - trace: List<TraceEntry<SimWorkload>>, - workload: Workload, - subWorkload: Workload, - seed: Int -): List<TraceEntry<SimWorkload>> { - val fraction = subWorkload.fraction - - val shuffled = trace.shuffled(Random(seed)) - val res = mutableListOf<TraceEntry<SimWorkload>>() - val totalLoad = if (workload is CompositeWorkload) { - workload.totalLoad - } else { - shuffled.sumByDouble { it.meta.getValue("total-load") as Double } - } - var currentLoad = 0.0 - - for (entry in shuffled) { - val entryLoad = entry.meta.getValue("total-load") as Double - if ((currentLoad + entryLoad) / totalLoad > fraction) { - break - } - - currentLoad += entryLoad - res += entry - } - - logger.info { "Sampled ${trace.size} VMs (fraction $fraction) into subset of ${res.size} VMs" } - - return res -} - -/** - * Sample a HPC workload. - */ -public fun sampleHpcWorkload( - trace: List<TraceEntry<SimWorkload>>, - workload: Workload, - seed: Int, - sampleOnLoad: Boolean -): List<TraceEntry<SimWorkload>> { - val pattern = Regex("^vm__workload__(ComputeNode|cn).*") - val random = Random(seed) - - val fraction = workload.fraction - val (hpc, nonHpc) = trace.partition { entry -> - val name = entry.name - name.matches(pattern) - } - - val hpcSequence = generateSequence(0) { it + 1 } - .map { index -> - val res = mutableListOf<TraceEntry<SimWorkload>>() - hpc.mapTo(res) { sample(it, index) } - res.shuffle(random) - res - } - .flatten() - - val nonHpcSequence = generateSequence(0) { it + 1 } - .map { index -> - val res = mutableListOf<TraceEntry<SimWorkload>>() - nonHpc.mapTo(res) { sample(it, index) } - res.shuffle(random) - res - } - .flatten() - - logger.debug { "Found ${hpc.size} HPC workloads and ${nonHpc.size} non-HPC workloads" } - - val totalLoad = if (workload is CompositeWorkload) { - workload.totalLoad - } else { - trace.sumByDouble { it.meta.getValue("total-load") as Double } - } - - logger.debug { "Total trace load: $totalLoad" } - var hpcCount = 0 - var hpcLoad = 0.0 - var nonHpcCount = 0 - var nonHpcLoad = 0.0 - - val res = mutableListOf<TraceEntry<SimWorkload>>() - - if (sampleOnLoad) { - var currentLoad = 0.0 - for (entry in hpcSequence) { - val entryLoad = entry.meta.getValue("total-load") as Double - if ((currentLoad + entryLoad) / totalLoad > fraction) { - break - } - - hpcLoad += entryLoad - hpcCount += 1 - currentLoad += entryLoad - res += entry - } - - for (entry in nonHpcSequence) { - val entryLoad = entry.meta.getValue("total-load") as Double - if ((currentLoad + entryLoad) / totalLoad > 1) { - break - } - - nonHpcLoad += entryLoad - nonHpcCount += 1 - currentLoad += entryLoad - res += entry - } - } else { - hpcSequence - .take((fraction * trace.size).toInt()) - .forEach { entry -> - hpcLoad += entry.meta.getValue("total-load") as Double - hpcCount += 1 - res.add(entry) - } - - nonHpcSequence - .take(((1 - fraction) * trace.size).toInt()) - .forEach { entry -> - nonHpcLoad += entry.meta.getValue("total-load") as Double - nonHpcCount += 1 - res.add(entry) - } - } - - logger.debug { "HPC $hpcCount (load $hpcLoad) and non-HPC $nonHpcCount (load $nonHpcLoad)" } - logger.debug { "Total sampled load: ${hpcLoad + nonHpcLoad}" } - logger.info { "Sampled ${trace.size} VMs (fraction $fraction) into subset of ${res.size} VMs" } - - return res -} - -/** - * Sample a random trace entry. - */ -private fun sample(entry: TraceEntry<SimWorkload>, i: Int): TraceEntry<SimWorkload> { - val uid = UUID.nameUUIDFromBytes("${entry.uid}-$i".toByteArray()) - return entry.copy(uid = uid) -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/resources/log4j2.xml b/simulator/opendc-experiments/opendc-experiments-capelin/src/main/resources/log4j2.xml deleted file mode 100644 index d1c01b8e..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/main/resources/log4j2.xml +++ /dev/null @@ -1,49 +0,0 @@ -<?xml version="1.0" encoding="UTF-8"?> -<!-- - ~ MIT License - ~ - ~ Copyright (c) 2020 atlarge-research - ~ - ~ Permission is hereby granted, free of charge, to any person obtaining a copy - ~ of this software and associated documentation files (the "Software"), to deal - ~ in the Software without restriction, including without limitation the rights - ~ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - ~ copies of the Software, and to permit persons to whom the Software is - ~ furnished to do so, subject to the following conditions: - ~ - ~ The above copyright notice and this permission notice shall be included in all - ~ copies or substantial portions of the Software. - ~ - ~ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - ~ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - ~ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - ~ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - ~ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - ~ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - ~ SOFTWARE. - --> - -<Configuration status="WARN"> - <Appenders> - <Console name="Console" target="SYSTEM_OUT"> - <PatternLayout pattern="%d{HH:mm:ss.SSS} [%highlight{%-5level}] %logger{36} - %msg%n" disableAnsi="false"/> - </Console> - </Appenders> - <Loggers> - <Logger name="org.opendc" level="debug" additivity="false"> - <AppenderRef ref="Console"/> - </Logger> - <Logger name="org.opendc.experiments.capelin" level="info" additivity="false"> - <AppenderRef ref="Console"/> - </Logger> - <Logger name="org.opendc.experiments.capelin.trace" level="debug" additivity="false"> - <AppenderRef ref="Console"/> - </Logger> - <Logger name="org.apache.hadoop" level="warn" additivity="false"> - <AppenderRef ref="Console"/> - </Logger> - <Root level="error"> - <AppenderRef ref="Console"/> - </Root> - </Loggers> -</Configuration> diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/kotlin/org/opendc/experiments/capelin/CapelinIntegrationTest.kt b/simulator/opendc-experiments/opendc-experiments-capelin/src/test/kotlin/org/opendc/experiments/capelin/CapelinIntegrationTest.kt deleted file mode 100644 index 4cb50ab9..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/kotlin/org/opendc/experiments/capelin/CapelinIntegrationTest.kt +++ /dev/null @@ -1,216 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.capelin - -import io.opentelemetry.api.metrics.MeterProvider -import io.opentelemetry.sdk.metrics.SdkMeterProvider -import io.opentelemetry.sdk.metrics.export.MetricProducer -import kotlinx.coroutines.cancel -import kotlinx.coroutines.channels.Channel -import org.junit.jupiter.api.Assertions.assertEquals -import org.junit.jupiter.api.BeforeEach -import org.junit.jupiter.api.Test -import org.junit.jupiter.api.assertAll -import org.opendc.compute.service.driver.Host -import org.opendc.compute.service.scheduler.FilterScheduler -import org.opendc.compute.service.scheduler.filters.ComputeCapabilitiesFilter -import org.opendc.compute.service.scheduler.filters.ComputeFilter -import org.opendc.compute.service.scheduler.weights.CoreMemoryWeigher -import org.opendc.experiments.capelin.model.Workload -import org.opendc.experiments.capelin.monitor.ExperimentMonitor -import org.opendc.experiments.capelin.trace.Sc20ParquetTraceReader -import org.opendc.experiments.capelin.trace.Sc20RawParquetTraceReader -import org.opendc.format.environment.EnvironmentReader -import org.opendc.format.environment.sc20.Sc20ClusterEnvironmentReader -import org.opendc.format.trace.TraceReader -import org.opendc.simulator.compute.workload.SimWorkload -import org.opendc.simulator.core.runBlockingSimulation -import org.opendc.telemetry.sdk.toOtelClock -import java.io.File - -/** - * An integration test suite for the SC20 experiments. - */ -class CapelinIntegrationTest { - /** - * The monitor used to keep track of the metrics. - */ - private lateinit var monitor: TestExperimentReporter - - /** - * Setup the experimental environment. - */ - @BeforeEach - fun setUp() { - monitor = TestExperimentReporter() - } - - @Test - fun testLarge() = runBlockingSimulation { - val failures = false - val seed = 0 - val chan = Channel<Unit>(Channel.CONFLATED) - val allocationPolicy = FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(CoreMemoryWeigher() to -1.0) - ) - val traceReader = createTestTraceReader() - val environmentReader = createTestEnvironmentReader() - lateinit var monitorResults: ComputeMetrics - - val meterProvider: MeterProvider = SdkMeterProvider - .builder() - .setClock(clock.toOtelClock()) - .build() - - withComputeService(clock, meterProvider, environmentReader, allocationPolicy) { scheduler -> - val failureDomain = if (failures) { - println("ENABLING failures") - createFailureDomain( - this, - clock, - seed, - 24.0 * 7, - scheduler, - chan - ) - } else { - null - } - - withMonitor(monitor, clock, meterProvider as MetricProducer, scheduler) { - processTrace( - clock, - traceReader, - scheduler, - chan, - monitor - ) - } - - failureDomain?.cancel() - } - - monitorResults = collectMetrics(meterProvider as MetricProducer) - println("Finish SUBMIT=${monitorResults.submittedVms} FAIL=${monitorResults.unscheduledVms} QUEUE=${monitorResults.queuedVms} RUNNING=${monitorResults.runningVms}") - - // Note that these values have been verified beforehand - assertAll( - { assertEquals(50, monitorResults.submittedVms, "The trace contains 50 VMs") }, - { assertEquals(0, monitorResults.runningVms, "All VMs should finish after a run") }, - { assertEquals(0, monitorResults.unscheduledVms, "No VM should not be unscheduled") }, - { assertEquals(0, monitorResults.queuedVms, "No VM should not be in the queue") }, - { assertEquals(207389912923, monitor.totalRequestedBurst) { "Incorrect requested burst" } }, - { assertEquals(207122087280, monitor.totalGrantedBurst) { "Incorrect granted burst" } }, - { assertEquals(267825640, monitor.totalOvercommissionedBurst) { "Incorrect overcommitted burst" } }, - { assertEquals(0, monitor.totalInterferedBurst) { "Incorrect interfered burst" } } - ) - } - - @Test - fun testSmall() = runBlockingSimulation { - val seed = 1 - val chan = Channel<Unit>(Channel.CONFLATED) - val allocationPolicy = FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(CoreMemoryWeigher() to -1.0) - ) - val traceReader = createTestTraceReader(0.5, seed) - val environmentReader = createTestEnvironmentReader("single") - - val meterProvider: MeterProvider = SdkMeterProvider - .builder() - .setClock(clock.toOtelClock()) - .build() - - withComputeService(clock, meterProvider, environmentReader, allocationPolicy) { scheduler -> - withMonitor(monitor, clock, meterProvider as MetricProducer, scheduler) { - processTrace( - clock, - traceReader, - scheduler, - chan, - monitor - ) - } - } - - val metrics = collectMetrics(meterProvider as MetricProducer) - println("Finish SUBMIT=${metrics.submittedVms} FAIL=${metrics.unscheduledVms} QUEUE=${metrics.queuedVms} RUNNING=${metrics.runningVms}") - - // Note that these values have been verified beforehand - assertAll( - { assertEquals(96350072517, monitor.totalRequestedBurst) { "Total requested work incorrect" } }, - { assertEquals(96330335057, monitor.totalGrantedBurst) { "Total granted work incorrect" } }, - { assertEquals(19737460, monitor.totalOvercommissionedBurst) { "Total overcommitted work incorrect" } }, - { assertEquals(0, monitor.totalInterferedBurst) { "Total interfered work incorrect" } } - ) - } - - /** - * Obtain the trace reader for the test. - */ - private fun createTestTraceReader(fraction: Double = 1.0, seed: Int = 0): TraceReader<SimWorkload> { - return Sc20ParquetTraceReader( - listOf(Sc20RawParquetTraceReader(File("src/test/resources/trace"))), - emptyMap(), - Workload("test", fraction), - seed - ) - } - - /** - * Obtain the environment reader for the test. - */ - private fun createTestEnvironmentReader(name: String = "topology"): EnvironmentReader { - val stream = object {}.javaClass.getResourceAsStream("/env/$name.txt") - return Sc20ClusterEnvironmentReader(stream) - } - - class TestExperimentReporter : ExperimentMonitor { - var totalRequestedBurst = 0L - var totalGrantedBurst = 0L - var totalOvercommissionedBurst = 0L - var totalInterferedBurst = 0L - - override fun reportHostSlice( - time: Long, - requestedBurst: Long, - grantedBurst: Long, - overcommissionedBurst: Long, - interferedBurst: Long, - cpuUsage: Double, - cpuDemand: Double, - powerDraw: Double, - numberOfDeployedImages: Int, - host: Host, - ) { - totalRequestedBurst += requestedBurst - totalGrantedBurst += grantedBurst - totalOvercommissionedBurst += overcommissionedBurst - totalInterferedBurst += interferedBurst - } - - override fun close() {} - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/env/single.txt b/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/env/single.txt deleted file mode 100644 index 53b3c2d7..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/env/single.txt +++ /dev/null @@ -1,3 +0,0 @@ -ClusterID;ClusterName;Cores;Speed;Memory;numberOfHosts;memoryCapacityPerHost;coreCountPerHost -A01;A01;8;3.2;64;1;64;8 - diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/env/topology.txt b/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/env/topology.txt deleted file mode 100644 index 6b347bff..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/env/topology.txt +++ /dev/null @@ -1,5 +0,0 @@ -ClusterID;ClusterName;Cores;Speed;Memory;numberOfHosts;memoryCapacityPerHost;coreCountPerHost -A01;A01;32;3.2;2048;1;256;32 -B01;B01;48;2.93;1256;6;64;8 -C01;C01;32;3.2;2048;2;128;16 - diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/trace/meta.parquet b/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/trace/meta.parquet Binary files differdeleted file mode 100644 index ce7a812c..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/trace/meta.parquet +++ /dev/null diff --git a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/trace/trace.parquet b/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/trace/trace.parquet Binary files differdeleted file mode 100644 index 1d7ce882..00000000 --- a/simulator/opendc-experiments/opendc-experiments-capelin/src/test/resources/trace/trace.parquet +++ /dev/null diff --git a/simulator/opendc-experiments/opendc-experiments-energy21/.gitignore b/simulator/opendc-experiments/opendc-experiments-energy21/.gitignore deleted file mode 100644 index 55da79f8..00000000 --- a/simulator/opendc-experiments/opendc-experiments-energy21/.gitignore +++ /dev/null @@ -1,3 +0,0 @@ -input/ -output/ -.ipynb_checkpoints diff --git a/simulator/opendc-experiments/opendc-experiments-energy21/build.gradle.kts b/simulator/opendc-experiments/opendc-experiments-energy21/build.gradle.kts deleted file mode 100644 index 32b1086d..00000000 --- a/simulator/opendc-experiments/opendc-experiments-energy21/build.gradle.kts +++ /dev/null @@ -1,54 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -description = "Experiments for the OpenDC Energy work" - -/* Build configuration */ -plugins { - `kotlin-library-conventions` - `experiment-conventions` - `testing-conventions` - application -} - -application { - mainClass.set("org.opendc.harness.runner.console.ConsoleRunnerKt") - applicationDefaultJvmArgs = listOf("-Xms2500M") -} - -dependencies { - api(platform(project(":opendc-platform"))) - api(project(":opendc-harness")) - implementation(project(":opendc-format")) - implementation(project(":opendc-simulator:opendc-simulator-core")) - implementation(project(":opendc-simulator:opendc-simulator-compute")) - implementation(project(":opendc-compute:opendc-compute-simulator")) - implementation(project(":opendc-experiments:opendc-experiments-capelin")) - implementation(project(":opendc-telemetry:opendc-telemetry-sdk")) - implementation("io.github.microutils:kotlin-logging") - - implementation("org.apache.parquet:parquet-avro:${versions["parquet-avro"]}") - implementation("org.apache.hadoop:hadoop-client:${versions["hadoop-client"]}") { - exclude(group = "org.slf4j", module = "slf4j-log4j12") - exclude(group = "log4j") - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-energy21/plots.ipynb b/simulator/opendc-experiments/opendc-experiments-energy21/plots.ipynb deleted file mode 100644 index 7b18bd2b..00000000 --- a/simulator/opendc-experiments/opendc-experiments-energy21/plots.ipynb +++ /dev/null @@ -1,270 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as pyplot\n", - "import seaborn as sns\n", - "\n", - "sns.set()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df = pd.read_parquet(\"output/host-metrics\")\n", - "df['timestamp'] = pd.to_datetime(df['timestamp'], unit='ms')\n", - "df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x = df.groupby(['power_model', 'host_id', pd.Grouper(freq='1D', key='timestamp')]).mean()\n", - "x" - ] - }, - { - "cell_type": "code", - "execution_count": 125, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<AxesSubplot:xlabel='timestamp', ylabel='power_draw'>" - ] - }, - "execution_count": 125, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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dpiPTvSjX9vLclfRm505hr3IOMtPnnXfAW01oFVMQCrTijHU4Ilru/U8+jSykoZDxVgd2AfIZlD16li4LWXCskRXBZhglXdydq9FqZ6FFykdfSzcJnPYmtIqp2Gse9VYAunHAm6fKsbz3N9WPSnejT5k39JxdQJQ1IKIVGDMWotfORq+aDihkf6u3QtJ0nOaXIRBGr58z5jX04ucrOzd51c/BWCkLSimJ9cp9iFgV5vyL0OuO847t2IgejiEH2nFa1+G2b8Dp2IiyC8XP0q8oPtbwncCRjHRBiFF58bJrK6Awpp0MCGRqaENVSU9J023f6A10QuC2b/Q0bKRbqi0YsQHr2AgUBCLIdA9uNoXs8TYZVbLTe24vcgQy5+Wsu707PTG0SDlKiJF57EVEcbBWdg414O1t6A3eQKjSPeCMnqW7mX6EZnj7AkU9HWEEIDuAyg4U34uxEUJgnrgMlU/hbH7Ou/+iBPf+MOgAkC6Ftk1F++d6z0kHZWUQrkXoDR/FPPVKALTKRhDCk9PQNJTr4LauxZh28ojUzxF2x2sQ4cSYNQdu23pUphdz/sXeZne8BhEuw+3YhNANtFDcW5kIDS1c7jW6ERxaZVWfSYHvBI5glHRBaKPCI7J7OwBa1XREvKq4oeoN1LJnuyddHIp7P3wjCMEYMtlZmkULIUZswKqiBIUQGiiF3d+J7Gvxnsv0Ih1njzNI5VgI10bl07g7XkVvmINwbbRQbMzWl1pxJaAKWeSAV4w2OBuWmZ4xZ+luNglGgMKKP5B76L9LRVHujldBN9GnzN3je6lXN6E3zPV0fQpZz7Hth/CeUgq3e5vnUAMR8s2veUqp4YT3vJVDRCuKs32jdP/CCKKVNSB7mtFCCZzml0BJjFmLdnstIQRa3XG4nVtGpbQ6m59DRMpKzlMIgV53HG7XltL3RQhtZGOaQBSV6jw0gno+kwbfCRyhKNch/9T/eTPrYYOVUgq3vxWCUUQojpao82b5CNyeHchcEi00sret0HQvjjysoYkSlJyA07aBwjO/QRXSiGAEu6/dcyyDuj/Zvj1q2yungALsNY8BYM670Mu+2WWzs2TP4EqgkEUWN7i1snpEpByVHJ0mqqSLsvLIZCeyczPYOS8d1HVwWl5Hb5g7pm7QrpgL3gCug73ucU93aX8yhAoZb6APRJCZXuye1lIoaHDFpidqGasOT6uajuxtQdkFnK0r0eqOR4tV7fFyeu1x4BS8lOAisr8N2d2MMWvRCPVRrf54cCyszm1jnksIbz9o8D33OTbwncARiqdD34rqa4Hh6ZzSRQ20o5VP8WaKZXWobH8xXz5fmpHu/QJDG7DujldRyU6cbS8hNAOZSwIKY9aZ3iUzvXvMEFL5DCrVjbtjFcbss9Ei5Qil0MbqokVR1E0PoKyst2rRTQhG0RK13opFypEDtJ1HoXDWPwVmCGPu+bht67Feuhvs/B5DQcPR4tXojSfi7FztbdDuJq1W5dOjpSmKyGRnyeG4resAhvYDrJzX1jIYRenmqCI7rWo6SAf79YegkMGcfdbI60oHVUgj88nSP618CgitVHMAYG9eAbqJ0XT6iNfrNTNB08nvWLf7NyEQQaV7D1mfBZ/Dj+8EjlBkMe7tFVUNhWJUIeNtCpc3AKAl6rzHrUxJq393KKUovHwPhZfv8cTGimGBwdCPs/VFb8OxoxmEhtF4shc/T/cgrcxuY+gql8Re/xSYYcwTlnhyF5o25n4AeJk9oqgfpLJ93srAtRHxGlS6GymdESsPaedxB3pw29ZhzFqEOfd8L+Vy52sQiKDVzhppTyHjDaK5pLeJPsyhaBVTPQ1/Oz96M10p3IE2nI6NXsvHXe+zmEElzJB3bMvrmFVT0aIVRUOd0sxei5SPEvbTq6cX3+eViHg1WrGoDCjZKeLVGLWzMWpno1fPAF1Hq5xW2hdQhTTuztcwpp86ql+xMIJoVdPJ71i7WycmhIBACLd3x24rwZUco0BRupOyb4XP3vGdwJFKvugE8ukRM1bZ0wyoki6PKPOcgCwWj5WO628jv/w3ONtfKT3mbFmBu+0l3B2vodA8JU/X8WQkglFUbgDZvpFC+5ai5INCRCuRyS6EVGOGT5R0cDs2Ibu2Ys5d6g1MjrXb/YBBRDDqhVYy/V4M3S54zkApyKdQw0XT8mky658D3fAa1guNwMI3g2Z4G6uljBnltWoMxdCrpqPXzPCcpZKo3ADKsdCKIS6Z6RuRJuv1QNiJHOhEaOaYBVcy7RXagbd6kn0tRI4/w3u9nUcU92HAE6zbNY4vgjFE0UkYs84aknmQDmgaRv3x6GX1JX0lLZxAC0bQamaiBtopPPs78o//DKSLsesqwimgnALGjNNxBrqw1z4+8vlh3yFhBFGOXQwjjqT0eQ6X5VAS2dPsbyofofgCckcog8t1lU+O+AG73c0AaBUNXqaM8Gbcg1k2Sro465/CXv8kAFbHJlSmH612FvZrf0eEYp5jyfSidN37bz6FOf8inC3PY29ajuzZiXH8Od7mZrwG1bvDq7IdJlVQwi7gdmwA3cCYWRwQXRsRGlkgtisiFPeymnID6HXHIYRCi1cD3gAtolVoxY1xt6+FwtZXMWadWcrF1+I1hC65aag/gZKoXAotUYNWXj/CAalYFSqXxO3eNuQE0j0j0mRlqsuTZg4lvIK3TB9aWd3QQO1YyHQvIhRDZvu94rSq6UTnLqZ/IO85mMphDXQCIa+Ib1AsrpABTaDXzMKxshjDKoRVIYdWOWW07DZAqAy9dhbutpXITC9aWR36nKWl92rwM/cqvAVG40kY/c1k1z+JXjkNrWYG9uuP4Gx5nuDi60uppCIY8+ougjG0yNDejUx2eUqufS2e0F4w6u3FpHvR4v5wciTif2pHKENOIDViY9jt2gaBCCKU8EITgtLmsBzooPDin1ED7ejTTiJw4qVYrz+Eve5x2PAUIlJGcNE7yD/2E2R/GyKS8M6HFybRm07HKToPvbqpeO5qnNY1IB3vNXXREQOsLGSQXdvQqmcOZR+x+/2AQUQojmrfCMr1NoQBYlVe+CnZCTWzvJCMYSLbNniZNLvMfofXBah8Cq28Hi1RO0odVQgBYU+Rc3D/QaW6ixvQ0pOgKA6IQggQBrhZb2At3ofM9JV6CFsr/wwoAgvf4oXVXMfTShpWLCY0Ay0Y9TKvXAd0A+w85omXYMw5r+RMlWuDbqBFKsZ8n7RgGBmtIHz5p3f7XqpCBq18Kirbh3IsyhdfTa5jB4WVd3lOP9UFRgB77aNotbO97DAhIBDF7dkOogktnPDCXckuT73UdXC6t6GVNaD6O7zv22RrXuQzLiYsHPTHP/6RN7/5zaV/Cxcu5Ktf/SrLly/nqquuYtmyZdx6660TdfmjntLGnWN5M/7BBiwD7WiJGu+HjFcwJeLVyP5W8o/9BJVPETjrnQTPeCsiFCNw+tUYc88HM0Rw0TsQZfUQjHptCZXA7dwCeNk5xoyFgAAhEBWNKKGhVzR618152kK7CrLJ7mavl3BxhqlcG4zAiMbpYxIuK2kiiUgCYYbRIwlErMrbfNV0TybCLuD2bEdPVKFFK8d+rxwLYYZK78tYCKGhJWpQVhYtUYtKdSEAXMcL/Ug5ss+vEKVmLsqxPJuCUZzNK5A9zQROvqK0F6DsXPHau/zcwmWetLMQ3qZtMAqoEZv3ysp6Oku7kwE3Q4Da/X6MnUcEI2jxSm/VZufRjADBs94BykVZOYLnvIvASZci+1qRnUM1B0I3EWYI2bUVN9ntZaIZAS+11AggEMjuZghGvAI7P7X0iGTCVgJvf/vbefvb3w7Axo0b+ehHP8oHP/hBrrvuOm677TYaGhr40Ic+xBNPPMH5558/UWYctYzI3sinRlT06lPmeoOtGUTEKtESdbjSRZ8yn8CpV46ckQpBYN6FmHMvKA2QekWj1wVL4BUvheLesWYQfdqJGG6+qM8TQxZ1+WWyE6NyGrK/DS2c8JQtpcRpWeOdc7B62c6hVU7fa68CLToUghDBYiw9EEFL1OJ2bPSyazJ9COki+3YSme1JKyilPPG1YLiUpaPsHHrtrD3uQQBokTJvNROvwW1+GakUumujUiNlmQGvP3CmBxLVyFSPtwhwbez1T6HVzi4JvimlQKkxs7K0YBQViKBXz/AG1Vi1JyJXsruACITRIrvP6BKajjDD3n7MLqE4pSQ4heKqTUMLx5FCQ0kXLVZF6A0f9XoPmyFPanrdk9jrnkCrPa70+QjdRIXiXnKAJtBCQ7aIQATM0ND7Wswo211xm8/k5JBsDH/lK1/h5ptvZseOHTQ1NTFt2jQMw+Cqq67igQceOBQmHH0McwIqn/Y2N62sJwIXqwQn78XNg1H0KXMJXfxRAovePsIBDGf4oKxVNqLSPaViLa2s3ps1uhaBhW+h6tIPoFwLinUIGEGvbkDTEXibzm6yE7djI7JrKyJaiRar9MIemjmuNFUxvIYgFPEcQCDsrSjsAqp7G0K6ngKoYxGa4jkZrAxazCvGUo5VnAlH95oZBd6Ap0XKvWI110Zlk6hccswWj0I3wS54q5FUJwSinhqolcWcN+RQlZVDi5aP2SJSBMLodccPbRaH417xn5LFATyPXjltr85rUHBvFIUMoqy2dH6h6WjxKmQhV7xe2QitJeOEJd7md9fWkecXGlqkbIQDGP7c0B/sV4Gdz+Flwp3A8uXLyefzXH755XR2dlJTU1N6rra2lo6O0RkIPntHWdlSDFoVVwJusbpWi1aBVGihKBhBLx4dq9zr7HsQrbIY4ulvQWV60crqvQ1mzfTCIkJDAFogjGYG0eLVQ72OA1Fkph810On1HOjdiV5/fMlmrax2XB3OBp2ACMURWgDNCIARRFQ1gRH0Vhia8IrDgEDD7OLgqdDKGzDqZnvhCTuPXt4w/nuPVSIG4++ZPk9C2y5QWHkX9qZnPeG1YuhF4SmbohkgXeyNy9FqZqFXTiudTzrWHgu+hs+ahaZ7x1q5osR2/ag0zzFtDkZRcnRPCUXxuzD82GhFKcy2K0bTaYhQHHvto7ttquM0v0x++W9GxP+VY2Fveg7pWOPuW+EzeZjwddvvf/973ve+9wGMGbcc749zkKqq/W/7V1MT3+/XTiT7Y1erslCxStxUD0EKVFWEyfYNkAPK6urQ43HCU7wYuKVNxUn1oodGi7WNhYwdR9szAtG+DpQiVj+FSF0teiSO3eM1Yy8rixBuqAYlaa+qI799LeXl4eLn6a028jvWkZcOZbNPJFgWRIZjhJumjYyt74aC20gLYJZVUV4eIlRfiWYGyTv19E2fR37nesqXXkNPshWzcgp6KEqZTGLUzyBQ5Q18blUMN9NPoGr87S+VipHNzaJjBQRlknDQIbt9Lfkdr+LueBX7tQcJTptL1Rveh4obyFwKvaqazJpnyBUyVJ65jGCF9z57fRbC1EytG/f3XCZ0cs39aKEyQo0zx/VeKTdE1mrDiAx9vm42hVHfVHovhoiTbxsgoWXRQ6NXhZkzL6f/qTvg9fspP+/tI2b6dl87nav+6inTrrqbije8B6Sk5+HfYbespyz2FsrKT8WIT9zvbDL+hiejTfvChDoBy7J44YUX+OY3vwlAXV0d3d3dpec7Ozuprd1zquCu9PSkkXLsTbA9UVMTp6tr8jXT2F+7rHQSzAiYGXIDfXR3J7FbvPTQVF5DCwXJdA/WEug4vSm08NBApFzbK7gSXmx31/RDkaij0LoBgJyIYeU1NKHj9mcoN4Mk84JMj1clbAcrUVaOnnWr0OtPGLJx82rQDbKhejLtXWjlU0qv2RvS8jKJ3ECC/oE8Rl8BISzcvIlbPgO15RV6NqzG6t6JMWsRSrr0J/MY0TBixPuZgH18f13pSW5kuzuwpwYobHgBrf4EAidfjrP5OQqbV9CzeQN61TQgjOpJkV/1GFpVE9lgPdm+rDeTLqSpW3Aa3cXPYfzXj6HpVaTH+V4BOBkJ2QEvhq8kqpDFiIR2eS88qqqn0f7aiwjTHR2/r56POe9Ccmsfw5Y65smXeyms0iX/xO9AD2Acfy75dU/Q+fS9qNwAbovXlCfT04Xd3o2en5hhZTL+hiejTbuiaWKPk+cJDQetX7+eGTNmECnOUE455RS2bt1Kc3Mzruty3333sXTp0ok04ahFWdlS2qHKZ1CO44VkzJBXRTo87j4sJ13ZeU/RU0m0yqlecxc7jyqkR6zU9GJICCMI4QRaIOxtXoYSnlhbaChmbzadjkjUUnjudzjbXvSqZftaijr6M0EzvPDRHjY4d0WEYkWpiDqEGSrNpLVgGFE9HYwg9usPg3TRa2Yh8xm0RP1B2ZQUoVgxC6kL2b0VlU9jNJ2GFq3AnH+R1/d36wul451tK71airlD32VVSCMqpnohuX1Er5o2rjDQCJvDZV61ePGz1GLVY+5DAF4Ir2o6ykqPuTo35izFOG4xzpbnKTx7O86OVz2Z7f42Aqe+EXPuBegzTsfZ+AzuztWeUmko7nV18zOEjjgmdCWwY8cO6uuHluLBYJBvfvObfOxjH6NQKHD++edz2WWXTaQJRy9WDhGtBBXzpJOl5VXuRsq9Dbphg0gpJz03gAgnvBlsIDI0sIbinpZ8pg8phJeRUtEIW1d6BVEIzxkAIlGNyO5ECw47f6yS4NnXYa36K9bL9yLWPeFtqGo65swrvH63ofhuB6WxEEIjfMlNSNsaOSCaQYRuojfM8RRChYZWPR2F2icns8drG0G0WBXO9le8zd5gtLTCEUYQY9opOM0voU66DDQNe92TaDUz0Wo8eQpVSKOFy/cq/nYw0WKVxX7PBYQbQovvRXguUgbxGq9/s2agkF6mkBEsSWsLM4iz9UWsoi6RPu1kjKnzAQiccgWWY6HFqzFOWOJlbGX7/VqBI5AJdQJXXHEFV1xxxYjHFi9ezD333DORlz0mUFbOGxA13Wsn6DiodI9XDGUER8WStfIpUCbHzA4SRgC9ahqqrBaZTSEH2hDlnvMWiTqEGSzNsEUgimFUgTak+yMCYdB0gmdfh73mUWSyw5stTpmHCIQ9obOKKft8jyIQReTTpVaJMOjQIuj1J+DueLW4iS3QgtF9cjJ7xAhCvBqki+zYiHH8uSPeT2PWGThbX8DZ/rI36FlZAgsuKYVNFKBXTtnn/a4DQRgB9MS+hVa1snrQgyBA03Rkz3aUZnhZXkJgzr0AY85SL2OoZwfGzIVD19MMgme+bejvaCVu52YvI6tYBe1zZOAn9B6BKNf2BNWMoDdAFuWLVbYfUX+8lze+C+MJLwgjiJ4Igq7j9mzHOGGJJ9kwLL1SaBqB2lmIYXFuYZje3oKmEzjxkpG2Kglou01N3SNm0Mux30VoTsRrEBUDiFAcfco8lJ3HSDTBQYpECE1Dr5jCYJ6LMeN0L71VFJ1Qog6tajrO5udRVga98cSSk1NWxlNwHa7TP0kRmo6eGCYv4RarvoeFEoXQPJ2lqul7PJcWq8Td/oqXqiq9CmmfIwNfQO4IRA3KNpuhUiql29sMSnqVtmO0bNwXtHAZQg9gzj3fSy0NjdxUGjXL0012O++z8l6e/DiyXEahm0P/hl8/GEMYAYKXfBxj9tkIQA8f3AwNrXpm8b9NaLEqlJXxWlsW1TeNmWegcgMgJea8i4BBoTd9SDX0CEOLVSECIU8baA+MpUAqBqujM0k/TfQIw3cCRyDK8grFBqUQAGSXlxkkwuUI88DCIkLT0MobUHauKD2x54YsQjdRxSKnUbZKZ78HRaEb3mpgVyegaWjxaoSb9ypli/UKBxMtWo4x70ICJ17qZfpoBqJiCiqXQimFPmU+Ilzm9UeIeXIVqpD1mt/sj8ObBAhN8xIC7PxupaaVa6OKEtwjXlusKpe5Pl9S+gjDDwcdiQxfCcSLTqDYWUqLlB2UUIQWTiA1E6XcUXIEYx4fCHuy07rhzQSVLElZMI5QlCwOOtqwvHShG1617xjxZS1SgTvQgVKF/dpv2BvCCGLOOM0TRiuk0OK1njKnnfcURMMJQss+DkV7PaE3c7dCb0cKIhDxnF1/KyoQGfFd8tJeM2jVM1DpblQh6/V9sPNF3SNQ2QGUM1pS3Gfy4q8EjkAGdYNEIIw+uBLobwWhQzgGxoE7gcHVgBaK71W2APCUN+2c11pR07zBJFaBXjV9r69XSrEz3cbGvi305vtwB6tVzdBuNzuFGfRmn9JBG4ckxD5jDFvdSOk5VyHQKqaUQiaDG6gwDqG3Iwg9UYNe61Vcq0LGm/1L16tirmxEj5ajV01HCeHJZiiFUX+CJx+SHQDHzxA6kvBXAkcgyiquBIyQJ68sdG+jOFrhKT+OpTu/H+jRctQ4Y+2DM+X9uXbKSpMsJIkYYdrTnXTrvcwum4G+l1WESNQg1N7DVfuDEJq3urGyXjptSWNHR6+Yitu+CWUEvIygcQi9HWmIUAyj/gSv9sTOI+08WqK6lPYqjABGzQxPW6piKmg6Ilru7ZPsZU/BZ3LhO4EjEFnsKiZCMTTd9DThcwOIUAJtjMygA2G88W1vBrzvs2BXurRlOggbYQzNIBYwSNkZbGl7TmAPaMM6dU0IoTgq1V3sojaECEYRsXJULu2FQZw8eu3s8a2YjiCEESgVDY71SYhA2JPAHvw7UoEa6PAlpY8wjq5v7bHCYDiomLUjijNQESkfV/x9MtGb78ORLubwFYRS2OPcXDxYq54xzx0IQyCKFhq9GtLK6kE6qELG24wPTUBI6ghDi1d7LUit/G77G/hMPnwncASi8hnQjFJGjCh20BLRckRgL81aJhGWa9GZ7UYXghc7VtGR7fJUQIVGfhLElYUZ9lpRjiFFIYwgoqwO5dpo5XX7dN6jdYDUErVeQkAuNWa/aZ/JiR8OOgJRVnZE6qQodtQSkZG69a50saVNyJicjmGgkMTF5Z7ND7Az3QpAWSDBovrTiZonT9h1806egB4YkYk0FkI30If16t0VLV7tbYDvrUvaMFzpsj3VQn20hrBxZK3a9oYobwBAZvuRKU8w0K8cnvz4K4EjEFXIeNXCRScwmKeuRcpG5NQnrTStmfbDYuPekErSnevliR3L2Zlu5dKmi7is6WICusmTLc+SHdbkHaAv30/azuzmbOMnWUixqX8rzcmdFMZqxLIPCM0YV4Oc4XRkOklZKVrSbaW0WICeXC+pwu7VRruy3Wzq30pvvg97ks6y9bKiTpidQya7kamew2uQz7jwncCRiJUZsRIwZi7CmHmGp3czLEbel+8nY2XHHV8/lGSdHM+0Ps+6vo2cP/UcTq05kVNqFnB67SkU3AK9hWGpokB/foC+/MABXTNZSLE91ULUiGC7Fpv6t9CX7z/AOxk/A4UkvYU+ygIJCo5FT64X8D6nnek2uvNjD5o5J09nthsUtGU62NC3hc5M94j3Z29YroUzwd8DkagGTffafobjqL4W3OyBfWY+E48fDjoCUYXcCJE4rawWY84StGHKoLZrk3dyaJoXXzcDk2vjcn3vRl7uepWTq+dzVv2QMFlD1KsL6Mp2Y0mbsKbjSpecmwc37/VK3o+K3KydZUeqhYgRQtd0dE3HlC4t6TYKboHaSM1ew0MHguVatGbaact0sjq3jrPqF3oDO4L2bCdlgTgZO4vl2gSGreakkrSm2wnoZumfUoquXA8DdpKp0QYiu8kIU0qRLKToLfSRsbMkggmmx6eOeezBQOhBRKTccwJCQwWjyN4daKHohG7g7yvKtb0KcD9UBfgrgSOSwT0BJTRs6XjOQA/CsMEgY2fpyfeDEiStfWtqMm47lNqn2eggtmvzxM7lBDSTCxuXjPgxVoeq0IVOZ7YbW3phDy9so1BKkduPDWNXuuxItRLSgwwUkmzq31pyJnEzRk+uj+3JlgkLs0gl2Zluoyvbzb1bHuSp1udY07uBgG7SlmknZkTQhIYQgrQ98rPqy/eTd/MUXItCMfVSCEE8EEUo2JbcjrWbsFZvvo/tqRZc6RI3YyQLSTL2+BvV7CtC0xDRCmTaW9EI3QAlkZNsNeB2N4+ySUnpiQQeg0we9+wzbpSVRTNC5KTFQDbN1FgDmhkakR66eWArf9jwZ86uX8gZ9aeh1PhbHFquRUDfu1REf2GA/sIAMxLT92lWtal/K5sHtrG44UxCRgilFBk7ixIKU5jUhqvpyvV4g14gztre9fx23Z284/irGbBSxAJ7ViRNWWkiRri0YujN9+NIl43JLfy9+TFc5RI1I5xSfSKn1Z5EPBAj42TZ2L+FylAFlaHycd3/eOnMdtOT7eWvWx8iakaImVEe3vEETfFGyoNlNCd38GLnKi5oPJfefD+VIU96Iu8UaM90sbZ3A4/tfBqAqBmhPlLLgqq5HF8+C0PotKTbaUo0jljJZO0sbZkO4oEomtDI2jmCepD2TAdNat8kp/cFLV6D07kFt2eH1xzHjCAHOtGiFeOuo1B2wRMlnIDqa2XnIZ/2KqAjiZJNMtkBrr1XtdSjEX8lcIShpAQ7D2YQW7mkLE/QjEgZWtEJ2K7Nc20volC81rMWW9oU3PEV8AwUkmwe2Lbb2eUgjnR4rXsNffl+sk5uj8cOJ2NnebD5MUzN5My6U3GlS9JOUxmuYHq8kbAZpjJUQVeuuzRrfaH9ZQquxeqetSQLyREbqrvSk+tl60AzO1ItONKh4Fq0pTt4pvU5/rbtYRpjDVw9+wrqIrUsb3ue/3n1//h782M4rkPECNNX6C/e/8FZFfTnkrRnOnl4x+Pk3QLXHPdGrpp1KUop7t/2ME+3ruD3G/7Mxv4tPNf+IgWnQN4p4EqXlnQrO1MtPLbzaWaXzeCCqecyM9FEZ66be7Y8wI9W/YxN/VvJOll6c32la9quzfZUC2E9RG++jzs33sMPV/0vG/o2kXPy9OeTB+XexsKYdyEinKCw/Dbc7mZvNeBaqPz4VqNKOjidm5Hd2yZkZi6LzY6UXSjJryi7gEp2IrNJTx/pGMNfCRxpFCUjRCBMXrlYro0tHQLFDCHwMlDW922iIlhOX6GfHalWpsYa9poqmrLS7Ei1olCkrAxV4aHZcKqQRmiCmOnNwl/tXsMfNvyFU6tPpCpcSdTcs3y17dp0ZDvZOrCdjf2bObt+IYZmknXyTI9PpSzoZdnEAzFmlE3n9d51tGc6mRprYNPAVgBe71nHwrpTyDt5ImNcrz8/QFu6nUQgTs7Nsy25HUOYPNW6nDW9GzirfiFLpy5GExpzKo6jL9/Pc+0vsqr7dVZ1v87SKYtZVH86GSdLykpTFT4wMbisnaW3r4unW55lZ7qNq2ZdRl3E03q6aNp5PNj8KM2pHSyomoshdF7tXsMpNQtIWSls6bIz3c4DzY9QH6nlTbMuL+0VKKVoTu3k6ZbneLD5Ud4z/1qvxgJFwbXI2FmkkjzR+iwvda4ioJtUhSp4ePsTvHveO2hJtlGuaggOW+040kEg9mu/ZTh6WS2BRW/HWnkXheW/IXjOP6CV1yMHOrzucntZMcpUN0gXZWVxOzej18zwMuHGiXIsT+oiGCvpPZWeUwqZ6kGYYYR0kf3tiLoYcqAdNNPrg2Dl4Bgr/PNXAkcYg7pBwgyzpm8DOSc/atb+WMszuMrlLcddScQIs75v06h9Acu16csP0JbuoCvbQ1++n+1Jb+N0cEY8iFSS1kw7Wwe205npJl3IcN+WvwOwpm8Dvbn+PRZ3DQrEtaU7eaJlOaZmckbdaWSdHE2JxpIDGOS48hmAlwmzrncjOSfPmXWnYUmbDb2bSI2xx5HKew7stZ61PLDtUVzpIqXk6dZnWdO7gXMaFnFB47kjQiYVoXIun3ExHzrpPRxXPpPHW57hDxv+giMdevN9+13UpZSiJ9fHloHtPNm8grV9G1k6dTHzK09AKsmAlWJ+5RzOaVjElTMv4coZl7BkytnoQuPljtfoyfexuX8r92/9OwE9wDXHvXHEZrEQghmJaVw9+woMzeT+bQ8T0AN053rJ2TkMofPYjqd5sfMVTq05kQ+d9B7eccLVCKHxt22P4ErJpr4t7Ey1kLRS7Ei1sqFvs7eqsMe/qhsLoZuIcILQee9FhOJYL/7ZU1q1sqVK992+b3YBNdDhyXIEYyAlTtsG3FS3twLe02ulxE1147StR2X7kT3NXqcza9j92DmEa3nqtGYQrCwq1Y3K9kMgjNANZLb/gO7/SMR3AkcYg0vYAV3jrk1/ZXXP2hGbpRk7y8udr3Fc2UxqwlUsqJrLloFt9OR6yDsF+vIDbOlvZmPfZlrT7SStFN25Hloz7VjS4rGdT3vhl2JYAuCVztf4vzW/oyvbRVe+m7+sfZCObCenVC/Aci02D2ylZ1g4YleShRSru9fy+w1/pjvXyxUz3oASiqpg+Zjx/WnxqRhCpyvXzctdr6EJjbPrz6AhWsdrPWvpyw+MCAlJJVnfvYUHmx/h6dYVrO5Zy89W38ZjO5/h2baVzKs8gSVTziod70gHRzqlQT4RiHP1rCu4rOkiWjNt3LHhbvJOjry7f5vQrel2WtNtrO1dzzPbV3JazUmcXX8GUknSdprqcCV5N8+SKWdxYtU8hBDEAlFOrT2JNb3r2dC3mbu3/A2pJG8//s3EAzGUUjjS8Zxb8d5jgSjLmi6gLdPBS52riJoRDM3gb82PsKZ3PUunLmZZ04WEjTCJQJxLmy6kNdPOM9tXEjUiZOwcO1It5OwcUSOCLnS2DDTTk+vdY8htj+gmAoUIxQmc+kZUth9n8wowQridWzz57+J7P6RS6oV9ZL83Ix+M04tAGBGIIPtbcdrW46T7x7ykcizcrq3IvlaveC8YQwuXgevgtm8opanK7MCIFGr0AG5/Kxghb8VghpDZ/r06nKMNPxx0hDHoBFo1L2bdkm4j42SpwVN3fKZ1BQW3wFn1C7Fci+PKZ/FCx8us691ESA/hSklPvpeWdCs70q0ENJPyUBm2dHi9Z13pxz81Vk+t5YUM7t3yIEkrxZ823cd5UxbzSver1EdquaBxCS3pNlb3rGVuxfHURKpGbai60uWRHU/yyI4nqYvU8KZZl5EIxLGkTW20Zsx7DBthaiLVdGS7yTk5psem4iqH+ZVzeGTHk2xNNlMVrqQm4t3ztuR2fvH67QwUUiybfgGzymbwyI4nebX7daZE67l8xhsQQmC5FgU5tOmddwqeIxBgCJ2TqucTMkL8ZfP9NCd3Uh0ZWdU7OBA7yiWkB0eFNmzXZke6lZ5cH8tbV7ChfzMLak/gDdPOByBlZaiP1lITqUYpGCgMEDUj3sa4k+OU6gW80rWaB5sfJR6Ice0Jb6EyVIErXTJ2hqAZAgVSymLOv2BafCpzK47nqZbnWNH+Umnv54Kp53JWw1DqrSMdTiifzYlV83h827Ns6m7momnnURaI05zaQU+uj5Oq5xEzI7RlOkhaaRqidYR2CcW40qW/kCRshEakpuadPJrQMHUT5b1Z6LWz0OtPwF7/JMb0UyEUQw50IFNdAAilSscKM4iyc7htG3C3v0pg4dVFVVrd6+ng2hTaN+M6IU+yu5gqi5XF6W5GoEYV7gkzhNINVNdW3KppyHTPiNarIhAGW5RUaMWgdLidK/VHOBbwncARxmA4qEV5s9SObBe9uT6a4o0IIVje+gJ1kRoaonVknRz1kRrqI7Ws7llLe7aTHakWbGkjENRHa8k4Nju7W3GUy8nVCzi15kRuX/8nXuxcRV2klm3J7XTmulk2/QKaUzt5qvVZAN488wosaXFSzQIe2/EUXfkejAGDKdF6EsEhwbU1Pet4fOczNMWn8bbjr0ITGmk7zfT4NIw95I43xqawsuMVFIpF9adhagFOrl7As20v8Gr3GhpjU4kFIhjC4I4Nd5Oxs1w35600xjzpgmuOeyPtmU4qQmXoQiNppQgbIZri04iaXj3F4KCedwukrTQ9+T5mJqZTFkjwWs9aZpfPpC7iyUZ0ZbvpzfcjUSglqYvUUBMZkpTIO3makzvZPLCVx3Y8TcEtcP7Uc1g2dwl9fRnSToa6SDXVYc9x1UWqSVkp8k6egrSpClWS1nTOrl/Ipv6tvGX2lSSCcWzpkHfyTIs3UhYaGuSk8hxBZ7aHJVPOIh6IIZUkqAepj9ZyfPksoFgv4hYwNRNHOVw07TxOqG3igY1P8Ou1fxjxnq/sfJk3zryUWWVN5J0Cm/q3UhuuIhKIENBM8k6Btkw7jnRRKMqDCcqD5fTk+0gWkpSHypkWn4IwQp52kBHAPHEZ7iM/xl77GIHTrkKEE97mqxAIoZXakirXRva3Y6+633s/n/g5wbOvRa9uArwwkx4Jozq6cHJJhG6gHBshpbdi2E3jI6EZqFAc2bsD0Eap4u4q+SGEjswOoPtOwGeyMthfuE3mEAgUiu2pnSyonkt3roeuXDcXT1tK1s1RG6khakaYXzWHR3c8hS40Tqqax4yy6UyPTyWoezMgpRRSydKm4Jm1p/JM2/O0ZNp4quVZygIJZpfN5LjyWUyJ1hMOm5SFE1QEy1kSXsQzLSt4vWcdTfFGtqd2Um4l0IVBxs7yu/V/JqQHuWrWpQCk7Az1kboRjmIsZpY18ULHywBMjU2hKlxJxAxzWu3JPNO6glVdrxEygmzp38qOVAtvnruMxliDN2i6eQSCylA5CkXaztIQracyVD5i9i6EwNRNTN0kHogRM2PsSLdwSs0Cnmx5lvZMJ/XRWrpyvaztWUciEKc8VE6ZGacj24mhGVSEyhkoJNk2sIMV7StZ1f06dZEarp15DTXhKmxpk3XyTI01UBEqL11b13SmxhtoSbXRFG8kEYyTc8qwXZuz68/w0jqdLFIpZpRNH7XxrgmNgB6gIVpLzs1x7pRFpc9zkIydxdAMGuNTiAdiFFyL7ckdnFg3l+mhGbzc+SoKxfR4IwHN5J6tD/LHjXdzZt1pLKo/nZgZoSffR3e+t+Qw1/dtor+Q5My6U0lbWQasFK7r0p7tBCFoiNaildXi9rWgcnlEtAJj1pk4m59Hq25CbzxpTHlylenDWnkXoryB4MKrKay4g8IzvyZwxlsxps4vfV7eXoELKERw9GpsLISmQygB49njMUNe57jy+qNOGnx3jMsJnHfeeVxyySUsW7aMRYsWoY0zf/fRRx/lRz/6EdlsliVLlvCFL3yB5cuXc8stt1AoFLj88su5+eabD+gGjnaUdFCFLCrTD2bA69wEtDsppsYa6Mr1sDPdiuVaPN/+EgLBjMR0IkaEqnBFMZ5+JjMTTVSHhzKIpJIUXAulJLrQR8zKz6w7jRc7V/HgtkdJ2WmWTb+AoBkkqAWYV3kCU2qqaO/pozpchQDmVh7P6u61GMJgVlkTPbk+Bqwk63o3krRSXDvnLZiaQc4plAa8vTEr4c0Ap0TriRhh4oEYAd3kgsZz6c718Gz7Skw9wHNtK2mMNXDm1FNo7erF0HSmxafiSIeklcKVktnlUwmPQ0QvHowxS5+BLR2ebVvJ6z1riQWiPNj8KG2ZjtJxiUCca467kpZ0K2k7y9aBZh7d8SRduR7OrDuN86eeg67pZOwsYeLMLm8aMzMrZkY5vmJWabM6bISYEqtnZ7oVgaAiWD5miG04uqYzLTaFzf3bSp+jUoq0kyERiDMlWl9y7mEjxMyyJpKiF0vanFW/cMQgesPcd/Dwjid5oeNlXuxcxZyK42iKTyNkBCm4Fstbn2fASqILjdd61nBazUkoNZSGfN6Us71Mr4gnrS3Tvaj+NowTliB7d2KtvAut+RXMOUu8vYB0r/dfp4Ds2gp6gODZ16KFywid/wEKz96OtfJPiHCi1NcAxt/jYjhCaAwuO5RSu3UeQtNR0kGmerxw1DFQVTwuJ/DHP/6RRx99lP/93//ls5/9LEuXLuXSSy9lyZIlu33Njh07+PKXv8wf//hHqqqqeM973sMTTzzBl7/8ZW677TYaGhr40Ic+xBNPPMH5559/0G7oaEEpiUx1Iwc6AIXQTMgnkb07cIVGlzXA/HgDAc1kR6qFrJXjpc5XmRqrJ2gEmBqrLw0uddFqUnaKlJ1G4E2IDM0gbIQwNYO8UyDr5FB4MVqlFGfUncbTrc9RFkgwo6yJhkgdETNMa7qD/nyS+khtqQfAxdOXknNybOjfxGs9a0r3IBBc2LiEukgttnKYVd40rsEYYGq8gdpwNfMrTyAWiJayY2oi1Vw4bQlJK8WTLcvRhc6lTReTtjLUhKuoCleUBr3Boqt9IWQEmVXWxNzK43m9Zx0d2S4GrCRXzriE8mAZfYV+nmx5ltvX38VVMy9lTc8Gnml9HlM3eNtxb2J2+QykkiStFOXBMk6onk1fz+6rdHeVqhhcLYSM0Ljfq5ARYmq8ga5sDzk7DQpqwlVUR6pGnT+gBzihahZOdhvduR4CmolUEldJNE3jsqaLOKv+dF7qfI3XetawtndD6bU14WreecLV1ISrearlOV7qfBVNCOZVzvEyufo2cfaUMykLJhCagZ6oxdVNVHczgaXvx932Ivbrj1B4+tdDBpkhTwIlGCNwyhXehi5er+Pg2deRf/x/sVb8nuAFN0LFntOQx4OzdSX25hWElr4PERj7fCIU99q12jmvnegkkryYCMZ1d/X19Vx//fW86U1v4uGHH+b73/8+d955J2vXrt3tax566CGuuOIK6us9ZcFbb72V5uZmmpqamDZtGgBXXXUVDzzwwGFxAoObSrKQA00b6os7jqbq+3wt6eB2bQOKSou7aZ5eOt6xkL07kfk0IhQbuSxViu5wGFdJqoIV1Iar2ZJsZmXny/Tm+zi58VwqQxUjZo+GZjAtNhVb2gT0gBcCGeOLPTgY5OwcjrTZPLCV02pOoiwQL8XRp8TqCMahkBp6XWOsgTdMv4CYGaE13U7OyVEeKqc8WIZULq5ymZloGrXJuCc0oXHjye+lLd1OVWhoBWNqBrPKZnDp9It4oPkRTqqeT9AIUB+vxcwf+CAB3gz9rPrTea17DRknyztOuJqacBWukkyJ1dOUmMadG+/hT5vuBWBGYjpXzriEqBkha+dwlVsKPxn7MWsdHjYaL+XBsuL77X2GY32+g+iaTn20lkQgRk++n5AeIGgESRfS9Ob7iJkx3jB9KRc0nkPW9rKkHOlSH61FExqWa7Gs6QLOaTgTXdOJmhFe6lzFQ9ufYNvAdqZG6zGLTluPVni/s1QP5qxFGFPm4fa1okXKvXaoY/zePG0fHRGMElx8Hfknfo713O9wL30/sP/9s1U+hbX67+BY2GsfJ3DKFd7jVg573eMYs89Ci1Z6exXhMmR2AGXn0aub9qlW4UhjXE7ghz/8IcuXL2fnzp0sWrSIm266aY+rAIDm5mZM0+QDH/gAXV1dXHjhhRx//PHU1AxlhNTW1tLR0bGHsxx8lHSRuRQq2YGy8wihA6qYFSPQyva/V+7Y13Nwu5q9Kl/NwOncjDBDiGAUglFkYmiQUEohswPIvp0ItFK2g3IsVKYXio29O8LeF7ImUkVjbCqP7HiSx3Y+jSY0ZiWaqAiWjbIjuptZz3A0oXkZHsE4x1fM5i3aG1Eo6qO1JaelCY3ycJyu9JAXCBkhomaEtJ2hLJSgTCUQQpB3CxhCZ0Zi+j45gEFiZoRoIDJKIC1qRjihcjYhM4QmBHEzRn2shp78gUtNgxd7nlNxHFfMuISpsQaCRoCAHiRmRujK9SCExnVzruGxHc9QG6lmYe0pFFyLlJ2hPJigOly1X/d7MBj8DMdDxIyMKLpLBOKUhcpoTbeTstJoQiNc/GzB03BypE3EjJB1cgghMIROys4wLdaILnTW9m7glJoFVOjlQzaVNaCsnCeBHopjNMwZ0x4lXS/7zTARVg5lBNASdQTOuAZrxR9o/8M30GpmYsxciD5l/qiJlFISlekDp4Aoaxj1vPX6I+A66PUn4Gx9AWPmGYh4NYWVf0J2bEJm+ggtvn7I7lAcZeVwOjZh1Mya2Famh5FxjXR//etfSafTXHvttZx33nmcfPLJe42Vua7LypUrue2224hEInzkIx8hHB79Ju5rzK2qav+q+aRdoIx+nEwPSIkoj6KZI8MFSkqvf282T2jKbLTg/s8slZIo28Lq7kBGQA8P6bUox0a5NsrpIb+zm5gZwiivw031IZ0BtJpKEILUK4+Q37keu6fF69hUpLOxAYHkuIZpnFw3j8p15fTm+plVMZ3ZDY1Mqx479XJfqCFOdXWMrJWjNja6sUpNzci4flnlCeTsnJf/DehCw9AMArqJMUZnrvFQKSPUOokxawlqiFOeCdOT7WN2ZROa0EbZdGDEWRo6g55cH+WhBDMrpmNoOo47je5sH+3pTq4+8RJCRoC0laUmkKCxbGxFz4Nr18FhdzbVEGe6qiFvF0gW0gwUkkgpkUpREyijLlpNJBDGkS4D+STJfIpEKE7EDLOi+wU29W6hEEhTUzNtxHll1QIKrZtRTgE9PPLaynWQhSwgMBuPx0hUoewCVtcOZCGLPv90nMbpZDe9SHbTy1jP/5HI8WdQvvgtCMMk37qR9KuPY3Xt8LSBAD1RTfT4M4kcdxp6tByrawfZ7a8QO+l8YiddQMed/4la+xBGdSOyYxOB2hlY7RuIFDoI1s8cZl0EaRdQ+RaC5bPQo6MnWJPx890XxvXrfOCBB2hpaeGpp57iZz/7GWvXrmX+/Pn84Ac/2O1rqqurWbx4MZWV3lL+4osv5oEHHkDXh2a+nZ2d1Nbum5hVT08aKfe9kjOheunZsbMYXjHBcoCxtEkMlFOg//VXMGpmjuodq6QDdgGUlyqoXAfyaWQhA0p6WilC81YZKBDespb8WHFhg4qKCL1d/aiudV4lYyCCKuSxXvgTbsvraFXTMY4/x+tpKwRIl9bcespUAXImvT1ZZidm0Jt7haboNPRCiK6u1BjX2j8EQbpyI89XUxPfzTUEg7tvDlDAITPme7xv5Njd/ZiUq2r6enN7sGn/MZ0IRiFH3KgYEdfXCVEj6mnPdtFr9VIfraVMlpHpd8gw3vfq8DFem3RCVBIa+lgdyAwMv0eDGBXIDKSxWVh5Gq93bmD55lfQckHKQ+UjKp1VsB6Z3onsay9uwLreHpVuosVr0CIJhB2A4nutAvW4vRshO4DQI1ScfinOjHOx1z1Bdt0T5LtavdV0x0Zv87jxRLTyKQA421eRfPFvJF/8G1rFFJRtQTCK27SYZE5gzD2fwqsPUGjdiDFjIfpJlyIe+gG9z91HcOn7R68yXIVa9ypatAKtrKEUxhp8L5WSXr3DAcpuTASaJvY4eR73FK2srIzy8nJisRiu65LN7lmS9sILL+Szn/0syWSSaDTKU089xWWXXcZPf/pTmpubaWxs5L777uOtb33r+O/mQFAKYQTGlfYljCAIDbdzMyJeC0KBlMVMBsvbWRWAEiAUQg94XwohQEq89LXouFPMhBEofamUklgv3YPb8jrmgkswTzh31PFta1+mIlxJtKjjs2TK2XRmuzm+/Pi9avgcbUxkD4CQEaQxPmXM5wJ6gOnxqfvd3+Bo5JTaBSS2xFnTs56p8QZiuR4qQuXURWrQNd3rxFY9HVLdICVaIOR9783wmBEBITREvBrZ24IIm6XHAvMuRCtrwHrxLsj0YC64BGP2IsQwh2PMOB2Z7sFtWYPbtg6V7iaw8C2lugBj5pk421chjCDmKZcjNANj7gXYr9yH274eo2HuSFt0E0JlqHwaJ7seLVGDVmzrqvJp3L4WhBFCr2maqLd3whiXE7j++uvZuHEjixcv5pJLLuFzn/sc8fiel0CnnHIK//iP/8j111+Pbduce+65XHfddcyaNYuPfexjFAoFzj//fC677LKDciMHG6GbqGCsFIsHAbqBFtrL0k8fPSipQhbZ34pWVofYw+uVU8Ba9Tfc7a9gzD1/hANQSoF0yds5+pwMs8LHleLOx1XM4m0nvIm4GZ/QQdFnNL4DGCJkhFjccCYPNj/Kr9f8gcbYFE6qns+8yuOZHm/E1D1JCD2x+9W/VJKMnUUXGkE96MXli70khmNMmYte+XFvA3k3sXotVoU25zzMOeehXBuhmzjSpSXXTdQIU7n0A15FshC4SiKmn4zYuBz79UfQa2ePcCpQDF0Hop7AXaoLd6CDnF2J0+VVIqtcP8qqPeL2DoQah0rWI488wpIlSwgGD/8O+X6Hg2QPve1dpZmAzCWR3c2obB8ql0JJB628Ab2yEZGoOyjLOpntx9n0HM62F70KSkCEy7yy93g1WqyaRMMUMjKMTPdgvXQ3KtOHMWcp5rwLQTooK4cQoPBWKNusAW7dfCeXNV3ElbOWlQb9gmthCP2QDEpHcojjUDMZ7ZpIm7J2llc6V7M9tZPVPevoK/Qzq6yJC6Yu4YTK2ZiagaEZuEpiuzaucjE0A1MzvZajLc/Rme2mKdFIXaSWaCCC2d+FKRX1dTUUUu6YE52Ca1OQNpa0yUubsBYgaoQIamZplWFJh+3ZThzl4ipJ3AxTF6wgbefosgbQhGBaMolacQd6wxwCi96xx3FAKUV5wmQg5YU8VSGLCMfRq6bt9jWHg4MSDpo9ezbf/va3yWazXgaLlDQ3N/P73//+oBl6KJDZAdydz3jLw6J+CQBmyAv/NL+MjTdQG3OWYEw/zYvxF1FWDtnfisolvTQ2xwblevsD0oFC1gsZ5QaQmT4vI0gI9MaTMBpPQqa7vdTPZAeqfQMoSfcw+0S0guB570WvnuHZa2XRKhrRwnGUpqNpOh0tKwCoj9SN+DEED2ITFB+f/SVshKmP1VIWTHBKzQJe7V7D8rYXuG3dHUyNNVAbqaE8kMCWNra0cZVEKUnOzbOhb3NJDHFl5yskAnHOql/InGgjzkArmaRDNmOTMMIENBOBQKIYsDNYxf7JoqgDlXKyqIJCExohPUBIM0k6WRQQKa6gs06BTbZXmBc2ArjKZVs8xvQTL8Fd/RDWqr8SOPWq3ReWCYFmBCjtLQbCqEwfKlFb0iMaCyVdcApe1p+VBSuHtPJo8Wr0srqD9lmMl3E5gU996lOceOKJvPzyy1x55ZU89thjLFiwYKJtO2jIXJKeJ39Jofl1AC/NbPqp6LUzkdEqpK7jSBcjn0br3Ymz5XnsV/6Ks+5JRKQclPRS3DK9e7iKgGDE2wsIxTEqGhHRCvQp89CiFVjShtoZmLPPRhPCS4fL9BEVWZIdbaAkxoyFoJtY0iFvZ+m3U/RktpPpz5F1c2gI1vZuxNQMpk1gr1gfn/1FCEFTfBo5J0/KznBKzYlMi09lVddqWjMdbEtuH/t1CGaXzeDUmhOpDlXSnNrJq91reGj74+hNF7FADxM3w0hdkHbzuM7QnmRQM4ntogEULNYTSKVwlMuAY6MLjcCw1O/ILmm8utAQaGyrn8qU3JkEN7+AHYwSmH/xuO9daRoy3Y1eMfbvU1k5nK5tQ5EBzQDdQCBKjx1qxuUEMpkM//7v/87Xv/51li5dyg033MD73ve+ibbtoCF7dmD3taPNXkS26WQGDA1LObjKgVx7qZwcBcHKWhK1byfS24bW/LL3wQgNLVyGmH4qqrwBGUmgdBMMA4QOAhQaCMFgoMouxjEL0qY/3YJVbNohhMIUBrrQQBeUx8vIaGE0IbCsPvKuhUTSnNzBw/1rsOXo7JqGSN1eWyz6+BwudE0nFogSC0Spi1STLKSoClV6nd5kgbxdIKAHCOgGGnqxUl2gC4EmNKJmhOOMANPjjTzQ/CgPND+KXn82Z+RNNMclJDTQQ0O/2z2gCUFAjD9F2dR0dBGmY8ZJVOT6ia9/igIQmnsB5nhCrYEIKtWNqxTYBZR0ENEKtHAZys4je7Z7iSS7KJ4qJYtJJYeecb075eXlADQ1NbFx40ZOPvlk5BGkuW00LkBe9VHWtWxG01wCCC9WiBgtByxduu0kKhZBLTgXUzNK3zVHuUVhhTzCLYCL9/eo5aLygvgIhICgbhLXvc0ipVRRidL7Z0uXnLJQ0lu6hvUAqwe28Pfe16gNV3NqzYmEjJAX7lHg4hIPxP3wj88RgSY0ykNlJIJxCm6BvGN5wnhSeuEUoREsVbGbBPUAmtCQSpK1c1wmLuL+rQ9zf/sKVqWqKdOjNAYqODHcgDiAOp492yyImCHyJ16ErhSR9U/R4eawZi0kYUSIGEFCWhBtNxlNygyjcinQdC9dfKADt7/dyyoMRkeEmIe90gstHwbG5QSampr4+te/zlve8hY+//nPk81msaw996CdbGTdPAFNJ7gXPRZT00se3yt8UqXZfQBjvwSlLOnQZ6cI6gFCWsBbBRRPE9ANgpq3dO0q9PPKwBZWJbcwIzaVS2ZeTCIQwxCeI9I0HV0YBIvKl0cLUilc16vYFgJ0bbRz9jmy8aqPw4SNMBWMLrga6/hYIEpVuIorZy7jpc5V9Ng9NKe6eD25jZZIF8vqz0Tbh0QIV0lW9m9gZ66bcysXUF/UllJKMeBkSBjREQO70HSyJ70BXUHlppXk0v30zjqVjnAcQ+hUBxKEXYOsW8BybQyhEzPHkLUez29ViBEFoYeScWUH5XI5nnzySS699FJuv/12nnnmGd7//vezcOHCvb30oLO/2UH9ybVsaN3C5nw3XdYAGSfvfXjSwVZep6OwHiSiB0mYEaoDCSoDCUzhfclcJclLm7xrlY6Xw1LXFApXSRzl4igXSzpY0qbPTpPapRF7UDMJaAYBzSRsBNCURs4teBkKCE6ON3F24yU8+nwPmhselQ1hO5JMziZbcDB1jUjIIGjqWI4kbznkCy45y6FguZimTixkEAmZ3vdMFVcvxcWKlAqplPdfqZDKmwkFAzqhgO6tVhyJIxVCeL5L1zWyORvLkRi6RiigEzA0hOb9gLy3RKGUd35HDp3fkyRWWLaL5UhsW2K7I7/8uiYoiwWoiAVxpSKds8lbDgFDJxz07tXQBbquIaVnnxJQsNzS56EJgaYJXKlwXInjeNexHa/6VRMCXfdCELquoWve8bomMHQN09AIGBqa8DYflYTh3zpN864hAKk8R+at7rx7dov/NE1g2S5SKixHlv7f0DUMQ0Mp7zgpFUHTuz/T0LzXu0M2265Ew7NRiKFKe10TmIaGMSw1WSmF63r37RZtUkqV7isUMHClHDWTHTyvpgk0GPPzHPz+6EKg6d7zUnrn14vvn6ZppcXx4DWG27w7Bj87XRPEIgHiYZO5s2LIUC/xQMwrrOzN8EzrCp5pe57Z4VrOrjqRjkIfXYWB4u/ZRqGIGxESRoS4ESFmhFAonuxZTY+VxBQ6jnI5tWw2cSPCa8mt9NlpGgLlLKs7k5pdZVekS2TTC4S3vQpKkp+2gOQJZ5FDEosFSae8BBCpJFND1VQE9l3VQBX3A4z64/f5tXtjb9lB43IC73nPe/jVr351UA3bX/bHCfTkevnFa79kW9rTKYprEUIiSEgLYAoDAy9XOC8t8soiLbNk5N57rQpvO6f0ly40dDRP0hcdQ+jEtQgJPUZEBLGlTQEHSzk4FJ2Ppig4FgLBNLOeWaKcfjWVR1ZmyeUlVYnRKxdd8wbeoKnjSEnBcnFcVRq4TEMjYOqYuobteo6hYEkQQ2HU4T9Sb1le1GsX3oBmOwrbcT19GN0bGAYdR8DUvc5RmjdY2Y6L7chRMVpv9SJKA/LgdTRNYOoauq5h6kODMHgDgVV0cumcg6ELQgGDgKlhOxKreC05bJA1dI1Q0MBxJEUzSwOyJryBSde943S9OHBL7z53dYCDg/Kg0/DeKzEq4jc48HmPe89rYnCA9u5RIAgGDVzHRRMCozhYCwGuK3Gl8r43mneNwftzXFVySoY28v2RUiG9N6r0tyOHraQYuv7gv8HBV7qeM9d1DctykUoN3w7z/lt8Hzw9rZGRTiGGvu+D79Pge1NyhsVJxTATS1IilF47OoI6/DFXKrJ5h1zB+/wXnxmmqT5OPB4inS4ggE3J13k59ULp9QEMQsL7PQsgo/Lk1MhoRUSEONOcTVWwgdW5tWx0WlBAjVZGvVHJBmsnNg4LQrOZH5w95MCKrzesLHVtr1LVtYFCvJb0GVcQr64k2ZfC7G0hXzmFjHKYEqokYUS972FxciiVxJYOWTdPzrVwkQgEhtAoM2PEhIkpNIyGEzjYHJQU0VQqRTabJRI5MqtRB6wkliOZb8xgdriJikDU+7koNfYSTAhsJCk3423wUJwdC5OAMDGEPuZ+wgiKxV1C2V61sa4DOiARUgIShEYoFiOXd3FdRXdfnnWpMC9tzGCa8KYljZx/ygwiwV2XvKIYMvF+mIMD2dBANNquPfn63R0/+Aox7BilFDU1cbq707s9ftT5d3ON8TA4a9/1WsAI+2prEwc9912qotfbk+m7PD/8UCHEIa0T2JNO/nCG2zTW92JPU6zhZ9/dccPPOfz04+npMojluHT15fh/d6/mmRVZtEUaCytjOKY3Y15QdRK1Rph8tpNqs5xwdCqE4wjHQTh5UF4/5rydJGslsZDU6wn0YDkyVsUit4ETBzajXJuyYBVOrI651gAvdi/ntfwmet0BlsZOI6ANC+WE43TOOpdM2VQaNz9J2fI7EQ1NVO7YgObamDNOQcw5h7Z8H+30l5za4C9DFCeKhqYTwPBW4krSXuhDSZcGM86Bq37tO+NaCbzrXe9i06ZNzJkzZ4Qj+J//+Z8JNW4s9jcctGL186x4vY/tXSapPHv8Rh68cHRp3o3adZZcnG15KBwXZPGg+hqT886MMbNsBnOml+/3ADpRHGsFUAfCZLRrMtq0Oza3DPDz+1+nvSdPLKITDGhUlhmce3o5AUOiZ3pwI+Wg76GQ1bXQ8kkvZBOugMHwqnTQChlkKOZl+QFapov1qfWsyG0grke4KH4G5cboWbSZ7mLa+kcwpUOubjaalSPYu5Ouc65F7k1VYBiiGJbMOwWiSmP67NEyMQfKQVkJvO1tbztoBh0OXt/ay0/uSwMmDeWSxikK9ADKCAx9IYoMjs1COeB6PUyVbqKKO/3serQa8coiwjt2HGN30DSwCgUMbKqrI9TWRhFmnrAsp7ZibE0VH59jhYaqCG85bybPbNiKa5ukMjabtufoSzpccX4Vofg4iqv0ADI6WgkXzUCGR8b/ZaSSudY0yo0Ej6Vf4Z7+p1gQnsnJkeMwh6Wa2rEaNp76dgxNkLMVppVmXs8OjDXPsX3GPgzkCsoTQUxTIMdIBz8UjMsJvOUtb5loOyaUaXUxrjivikAgTW1FHDSj5PkPN4l4mGRqaP/BkhZS6YSNKImonwbqc2wTChpEQ0EWLSgnHDPJZ1yaW3M88mwf9z7azTmnlzPObrdDc7ZiCG/U9Kr4WMSopl5zeHP5ubyY3chruc1sKuyk0ayl0ohTa1ZSZZSh6zqRaBCVKUCgjL76+VS2rWag8UQKkcpdz04w00uiezPhVAcIDakZ2IEoyVAVuao6zPLEuEN6B5M9OoG5c+fusWR6zZo1Yz432UhEApwyv5rmDjXmstHrxuTgbe7qh02EreDmEUJQrtVSm4iOyPjw8TkW0YSgKhEi0xvHkSkK0qKuXvCGcxM8ujzFXx/v3vtJ9oMTZyU4e0aS8+InMyfUxKrsRrZb7Wws7ADgzOh8FoRnjnhNz9STKe/cQN3WZ0lVzUQBhl0gkB8gmO0lmBtACUEu5gno6U6BcLqLCncD7IC248+D4y9gXCGEg8gencCzzz6LUorvf//7TJ06lXe+853ous5dd91Fa2vrobLxoCKVLM62pRf7VwpN6IT0kNd8XRaKXcZgMNtCCYVQolgYRqkQrNSwl8GPTZSO9R5QQ1kPxdfvmo2h25JsMYU0oAepDdSTzysq4odfrM/HZzKQiAYI9oVpqphCn8h4v9+aZt52WW1JvG1vk2fvdzgsy2swVXqXrW6lYFtLntWbMmzvCHPucQWmNZRxSdkilFJkZYHnM6/zQmYNOZlnaeSUUro4RpCuaQup2/YskVRn8YwCOxjDCiXoq5tHqmom7nCJC6UIpbuZ8fp9iHx6SKb+ELJHJ1BR4RVTrF69mn//938vPX7DDTdwzTXXTKxlE0BB5jEkxIwEYSOEIQx04akaDsdVLo60sZWDlC665sk8DO7mKyVBeCmAmvBSQjW8Wbsneys9ydxiFpFElpZ5g8dJJK50SMTD9MmMJ0LnGuQLirrKCOHg0d3c2sdnvHjp0AaW41XUBrQA5YEKkiRpjB582ebG+hCzGsM88UIff1sVILRGMqsBokGAAPWhUwmVr2F1bgsbd+7EljYSxazgVBbVziNZPQuhvL4iUg94+4m7QwgKkXLv/6WzbylUB4lxjTS5XI4tW7Ywa9YsANavX49tHx6xo/0lHogzJdxIWShWCvfkCw45VwFj3YuX0imAYkLnKFTxcaf01yCDYZxdy8AHXzF0nF3QcAqGV6wWNJhZH/MdgI/PMIQQVJUFSeVssjmbgKlRZpaTtAeQSo4I3yqlsGRhzMndvjClLsg7Lq9jR1uWzZv7Wb9T4sqhKfrxU+dz1vEJUloazdVxlMOG/HZarE5OjhxHSHgreelKbOXVBmXdHCmZw1UujYFaZgQbSOjRISch3cNSNTyud+mTn/wk73znO5kzZw5KKTZt2sR3vvOdibbtoFIWitMl7VJ5V77ggBDMmhIfUwPkUFFdHSvl3AdN3SvK8vHxGUFlIsTUaIgdLX30pSxcR1IZqKK70IWpeQkUrnRAKOJGGTk3S9bJYIjBfHxP90sIDQ2tWPjm/dacYpUxQEgfqtDXdcGMxigzGkz0gRakHgA0Xt6ieH6DwrYbuXpJmELeK0qbE2piefpVXsisHfMeQiJITA+jULyUXc9L2fVMC9SxNH6qFyiWLnuu0pgYxuUEli1bxsKFC3nxxRcRQrBw4cJS7+D77ruPN77xjRNq5MGgoTpKV3eavlQBwxBoCGZNSRA0D2+WUCRk+jN/H5+9oAlBIhqgtiJCWTTIhh19xAJxL3SrHBSKoJkgZsQxNG9lnXNzpJwkOp5EiyY0r6GMdHBxUcqTEEkEE4T0EDk3R0+hm5AeRh+ePagHkLFatEwXKMnCWQGCpsZTryt+9Jcc4SCEA6BpEeAs4kYOtOJeodJA6ghpINBwgJAJS5oKpMM7WZXbyIMDK5hhGJM7HARQVVXFsmXLRj3+85///IhwAqahM70uTlk0QNdAnmk1scPuAHx8fPadYECnpjxM90CeykjVmMcIIYgYESLG+FUOgnoIU5h0FjrQ0AkOyyRUgSiuGUJYObR8HydOtUhEgnQMaCTTLjlL4RYTRjQ3MjoSPIyOftjaEaS2bDanzI3zqvMKP52S4Jqsg5LyUO8Lj98J7I5xFBxPKspiQcpifuaNj8+RTFVZmJ5kAVdK9HEXCuydqBljqh6gJ99FxkkT1EJDewtCRwVjuIEw+kAL0ytt5s2Ik8kU9ukarqtY16J4aZNi5cpazjt7Ic/yApsLNgvG3H2cWA7YCfgVrT4+Poca09CoqwyzsytNKHBwV/QCnbpQAzk3S1ehEyUV5nANIaHjxuswBlrAdb0+AK4FaGDsfYKp64IF0wVNNYo/PiN58dUEzANHSNRh6NPiB6N9fHyOSCrjISxb4rrFaMRY89Fd1FxGP7dL+bACR0pSGYt4NEqDNpWW7I5SKngJPYgbqwOnD1wXFSpH5JNeXH+cWUmxsGDZaRr3vqATAlylcKV7yAdl3wn4+PgckWiaYEr1wW+zqpSivTdLZ1+ORDRAXaie9nwbYT0yMh01EIVIGW7G9uqGjCBasg0COuOr+FJMrXA5+wSNV5SiIEHKQ99dbEL3BG644QZ6enowDO8yX/3qV9m+fTv/7//9P2zb5r3vfS/vete7DtQEHx8fn4OGEIL6Sm9DubM/RyISpSpYQ2+he/AAglrQWxnoJohipZAZQYUSCCsNxp6K2BQ4VnHVoDOnQeO1FDh4K4FDzbicwHe/+10+9alPjfncVVddNebjSim2bNnC448/XnICHR0d3Hzzzdx1110EAgGuvfZazjrrLI477rj9NN/Hx8fn4DPoCJSC7v4cZdEy4mYcR9oU3ALdhS6C2hg6ZJFKdCsLTg70wGihSqcA0kEF4siIp2Bq9rSgq6KywH7I5B8o49pWf/zxx3f73Ac+8IExH9+yZQtCCD74wQ/ypje9id/85jcsX76cs88+m/LyciKRCJdeeikPPPDAfhnu4+PjM5EIIWioilBVFiKVsdHQCOohEoEyGsJTKMgCttxFbUDouIkGVKjcK/6ycwg7C3YO7CwYAWRZIzJe64lZ6kG0eCW6BEdM4pVAY2Mj73//+zn99NOJRodicO973/t2+5pkMsnixYv5yle+Qj6f54YbbuDyyy+npmaod05tbS2vvvrqAZjv4+PjM3EIIWio9lpF9iY9lV+FwtQDTIk0kpV9ZN0MXk6RTkALIPQAMhyAcAVIByFdUA6goYzQKLU7FUp4KwEB0j30PQXG5QTKy8sBaGlpGfeJTzvtNE477TQAIpEIb3vb27jlllv48Ic/POK4fU0x3VOHnL1RUzP+jj+Hkslq156YjDZPRptgcto1GW0aD4fL7tqaOLYjUXj9obe2DmA7krpQBU7cwXItklaSlJ1CExoaAke5oARCmICJwHMgCokhdELD9g00KXCFIp4IHvJ7HJcTuOWWWwBvdp9IJMZ14pUrV2LbNosXLwa8PYKpU6fS3T2k/93Z2Ultbe0+Gby/7SUna0u9yWrXnpiMNk9Gm2By2jUZbRoPk8nuirBJc3sKVypy2QK6EAS0OHEZJG2ncIGgFi1KWEgc6XqDv2agCZ2k3Ue/213SKtKV5wR6e1KYoYN7j3trLzmuPYGtW7dy5ZVXcuWVV9LR0cHll1/O5s2b9/iaVCrFf/7nf1IoFEin0/z5z3/m29/+Ns8++yy9vb3kcjn+/ve/s3Tp0n27Ix8fH5/DjGlozGiIU1cZJWjoKMB2FEKaxLQKYloFASJoMoCuQgRFlJCIY6gwQgaIyBqiooKcm/WUUJXAEZ7Q3aFmXCuBr33ta3zuc5/j29/+NnV1dfzDP/wDX/rSl/jtb3+729dceOGFrFq1iquvvhopJddffz0LFy7k5ptv5oYbbsC2bd72trdx8sknH7Sb8fHx8TlUGLpGQ02MoNj3yEQ279DZH8Duc8mqAYQSuDqoybox3N/fz7nnnsu3v/1tAN71rndxxx137PV1n/zkJ/nkJz854rGrrrpqt2mlPj4+PscCkZDBjPoEAUNjXVceTXkKo9I99H1axq28VCgUSpu4XV1dyMOgceHj4+NzNFFTHqHCrPacgCZwnEnqBK677jo+8IEP0NPTw3e/+13e+c53ct111020bT4+Pj5HNaahMbU6gYaOLQSuvW+KpAeDcYWD3v72tzNjxgwef/xxHMfhq1/9KkuWLJlo23x8fHyOeirjITR0HCGQTv6QX39cTuDmm2/m0ksv5aabbiIcPviNnX18fHyOVQxdwxAGtgDXtQ759ccVDrrooot44IEHeMMb3sBNN93EvffeSzqdnmjbfHx8fI4JdGHgaAJlTVIncNVVV/G9732Pxx9/nEsvvZT/+q//4pxzzplo23x8fHyOCXQMXCGQk3VPYMWKFSxfvpzly5fT2dnJ2Wef7e8J+Pj4+Bwk9GLnMtudpE7gve99L9XV1fzTP/0T73jHO0rS0D4+Pj4+B46hBQCwpIVS6pC27R3XaP7kk0/y1FNP8fTTT/Pzn/+cE044gSVLlvgNYXx8fHwOAoNOwHFtUGqU0uiEXns8B9XU1HDNNddwwQUX8Pjjj/Ozn/2MF154wXcCPj4+PgcBQ/fCQQXHAST7UMd74Ncez0Hf+973eOqpp+jo6OCiiy7is5/9bEkd1MfHx8fnwDCNEEhwHMdbCRxCxuUEcrkc//Zv/8bChQsPaazKx8fH51ggYATBAksdeicwrjXHv/zLv/Dyyy9zww03cN111/GjH/3I81g+Pj4+PgdMwAwB4EgXmIRO4NZbb+W5557jPe95D+973/t4+eWX+c///M+Jts3Hx8fnmCAQ8JQYXOUiD7Gc9Lizg/70pz9hmt7mxQUXXMCb3vQmPve5z02ocT4+Pj7HAqHiSsBVEild9EN47XGtBJRSJQcAEAgERvzt4+Pj47P/hAIRwHMCyp2E4aC5c+fyjW98g+3bt7N9+3a+8Y1vcMIJJ0y0bT4+Pj7HBKFiOEgqiasO7X7ruJzAl7/8ZZLJJFdccQVXXHEFfX19fPGLX5xo23x8fHyOCSIBr1jMReIe4j2BcTmBzs5ONm7ciJQS13Vpa2sjm81OtG0+Pj4+xwShohOQSFw5CcNB//Zv/8Y73vEOVq1axapVq7j00kv5/Oc/P9G2+fj4+BwTRMwgAK6QSDkJw0G5XI53vvOdmKZJIBDg3e9+N93d3RNtm4+Pj88xQcg0QSkkCjkZVwLTpk3jpZdeKv29YcMGGhsbJ8woHx8fn2OJgKljKHCFwnUP7UpgXHUCHR0dvPvd72bOnDkYhsGaNWuoqanhqquuAuDee+/d7Wu/9a1v0dfXxze/+U3Wrl3LF77wBdLpNGeccQb//u//7stS+/j4HPOYhoau8FYC7iQsFvuXf/mX/Tr5s88+y5///GcuuOACAD7zmc/wH//xH5x66ql87nOf44477uD666/fr3P7+Pj4HC1oQmBIgSsU6hCniI7LCSxatGifT9zf38+tt97Khz/8YdatW0dLSwv5fJ5TTz0VgGuuuYYf/OAHvhPw8fHxAW8lIA79SmDCRKu/9KUvcfPNN5NIJAAvzbSmpqb0fE1NDR0dHRN1eR8fH58jCk0KXMHk1A7aV/74xz/S0NDA4sWLueuuuwBPemJX9keWuqoqtt921dTE9/u1E8lktWtPTEabJ6NNMDntmow2jYfJaPfBsknHCwdFIuYhvc8JcQL3338/XV1dvPnNb2ZgYIBsNosQYkRaaVdXF7W1tft87p6e9H6lUNXUxOnqSu3z6yaayWrXnpiMNk9Gm2By2jUZbRoPk9Hug2nT4Eqgrz95UO9T08QeJ88T4gR++ctflv7/rrvu4vnnn+eWW27hjW98Iy+++CILFy7kL3/5C0uXLj0o11NK0dfXhWXl2Z0Wd2enhpTyoFzvYDJZ7doTk8NmQSAQoqKixm905HNUoCNwhCr2FDh0HNL8zO985zt84QtfIJPJMH/+fG644YaDct50egAhBHV1jQgx9jaHYWg4zuEeuEYzWe3aE5PBZqUk/f3dpNMDxOPlh9UWH5+DgaY0XF3gTMYU0QPhmmuu4ZprrgE8NdI777zzoF8jl0tTWVm3Wwfgc/QhhEY8XkFvb4fvBHyOCjSlURBMTtmIyY6ULrruF50da+i6ccgzKXx8JgodDVeAe4hb9x4VTgD2L9PI58jG/8x9jiY0dGwhkNI6xNf18dkDt99+G1//+lf2etySJWfQ398/4fb4+Byt6Og4GkjHPqTX9Z2Aj4+PzyRAF95KQDmHdiXgB9L3g5deWsmPf/wDampqaG1tIRAI8vnPf4Xq6hr+67++xcaN6xFCcPbZ53DjjR/lxz/+PqFQmBtv/Ag9Pd1cffXlfO97P2bhwjN54IH7eeKJx/na177Jfff9hbvuuhOlJIlEOf/8z/9CU9MMvv71r5BMDtDS0sI55yzhIx/5+G5tu+iic3jHO65n+fKnyGQyfOQjn+Cxxx5my5ZNVFfX8K1v3Uo4HGbVqpf57//+PoVCHsMw+eAH/4mzzz4Hx3H43ve+zQsvrKCiopKKikpiMS/HOJ1O8/3vf4ctWzbhOA4LF57JRz7yCV8E0MfnIKALEykErmujlDxkiS7+SmA/2bBhHdde+w/86le/58orr+JrX/sS3/vet0kkyvj1r//Az352G5s2beR3v/sNS5deyIoVzwKwYsWzVFZWsnLl8wA89dQTXHDBxbz88ov87W9/5cc//hm//OXtvOtdN/D5z3+mdL18vsBvfnPHHh0AgGVZVFVV8+tf/4G3vOVtfOtb/8EnPvEpfvObP5JOp3nqqScYGOjnC1/4LJ/4xKf51a9+z+c//xW+9rUv0trawl13/ZEdO7bzm9/8kVtv/W86OtpL5/7BD77LnDlz+dWvbucXv/gtAwP9/OEPv52Ad9fH59hDF95kynYsGENhYaLwp3D7yXHHHc8pp5wGwJVXvpn/+q//ZNOmDfzmN39ECEEgEODNb34rf/zj73jXu26gq6uTvr5eVqxYzg03fIC//e0+3v/+G3nppRf57Ge/yP/93/+yc+cOPvzh95eukUwmSSYHADj55FPGbdsFF1wEwNSpjcyePZuaGq8ye8qUKaRSA6xZs5rGxkYWLDgRgFmzZnPSSafw8ssvsnLl81xyyaWYpolpmixbdhmbN28CYPnyp1m79nX++td7UAoKhfyBv5E+Pj4AGJoJgK0cdlf0OiHXPWRXOsrQdb30/0oplFKjslWUkjiOg6ZpnHvueSxf/jSvv76aL3zhq/zmN//HY489zEknnUwkEsF1JZdeekVppi+lpLu7i3jcE+ALhyPjts00A8PsHP0RjyW7IaXCcRyEGDkJGf56KSVf+9q3OO642TiOJJVK+Rk6Pj4HCUPzfre2Yx/SlYAfDtpPNm7cwKZNGwG45567OOmkU7jooku4664/opTCsizuuefPnHnmWQAsXXoBt9/+a2bNOg7TNDn99DP4n//5ERdeeDEAixadzcMPP1jSV/rLX/7EJz7xTxNi+4IFJ7F9ezNr1qwGYMuWzaxa9RKnnbaQs846hwce+CuFQoFCocCjj/699LpFi87mD3+4vXR///qv/8yf/vSHCbHRx+dYw9A9J+BKF3eXqmFl5XCzAxNz3Qk56zFAZWUVP/3pj2lvb6WiopIvfvGrRCIRbr3129xwwzuxbYezz17MDTd44Z2FCxfR1dXF1Ve/DYCzzlrMo48+xHnnLS39/a53vYebb/4ImqYRiUT5+te/PSEz7fLycr72tW9x663fplDII4TG5z73ZaZPb2Lq1EZaWnZwww3vJJEoY9q06aXXffKTn+H73/8O73rXO7BtmzPOOIt3ves9B90+H59jEbO4EnBcd1QRpBzoAN2ESNlBv65QY2k8T2LGUhFtb2+mvr5pj687mHo3L720kltv/U9uu+2OAz7XZNDh2Vcmk82Dn/1kVJiEo1/58lAyGe0+mDb9+am7edh+hoszDVxx8T8Sinhy0srK4bS8jlbWgF45dZ/Pe1hURH0mjttv/zV///sDYz53/fXvZtmyyw+xRT4+PgeDgBkEG1wlR6wE5EAnUoErHfQ9vH5/8Z3AfnD66WcclFXA/nD99Tdw/fUHR33Vx8dn8hAIhCELUrk4yS5UOAqug8r10yscsFI0TMB1/Y1hHx8fn0lAyAwD4KKQ+RRO23rcvjZsIei0kkg1MSFYfyXg4+PjMwkIBb00cKkkjhFG6QZYaXqUU6wdmBh8J+Dj4+MzCQiHBp2AS2t3mh5hYmPTanehS4eIVmDft4X3ju8EfHx8fCYB0WAUAImkYGQRWoCsWyAcMHEKLu5+9FYfD74T8PHx8ZkEhIIhABSSgrTJyQIAYS1ImomTaPGdwASQyaT5n//5b1555UV03SAej3PTTTeTSCT42Mc+xJ133jvi+CVLzuDpp1dy//338sMf3kpdXT1KKVzX4dpr/4E3vvHNANx00428//03cvrpZ6CU4g9/+C0PPHA/4OUCX3/9DbzhDZce8vv18fE5cKKBIOBtDAeLOkKHAt8JHGSklHz605/g9NPP4Je/vB3DMHjppZV8+tMf59vf/v5eX79kyVI+//mvANDT0811172VCy64uCTnPMhPf/pjNmxYz49+9FNisRidnR3cdNONlJWVl6QqfHx8jhxCpoFQCpdDW4jpO4GDzEsvraS7u5sPfOBDaJqXgXv66Wfwuc99aZ/74WazWcLhMIFAYNTjd9xxO7/5zR9LzqG2to5///dvECwuKX18fI4sTEPHUCCF7wQOiGdea+PpV9tGPb6rOub+sOTkBs49ac/lGhs2rGfevPklBzDI4sVLaGtr3es1nn76Sd773utxXYcdO7bzD//w3lFOYPv2bUQiURoapox4fN68BeO8Ex8fn8mGEAJdehvDh5IJLRb7/ve/zxVXXMGVV17JL3/5SwCWL1/OVVddxbJly7j11lsn8vKHBU0T7E6OaaxOQbtKUC9ZspT/+7/bue22O/jLXx7gscce5qGHRspECKHt9ho+Pj5HLoYCRxza3/aErQSef/55nnvuOe655x4cx+GKK65g8eLFfO5zn+O2226joaGBD33oQzzxxBOcf/75B+2655409mz9UImezZ07nz//+c5Rg/tPfvLfLFhwEul0esTxvb29pZ4Bu1JeXs5ZZy3mtddWcckll5UenzFjBoVCnvb2durr60uPP/zwg/T29vKOd1x3kO/Kx8fnUKArkIewoQxM4Epg0aJF/PrXv8YwDHp6enBdl2QySVNTE9OmTcMwDK666ioeeGBsMbQjlVNOOY2Kikp+8YufljTBV6x4lvvvv4f58xcwbdo0Hn/8kdLxd999F2ecsWjMc1mWxWuvreKEE+aOeDwYDHHNNe/gu9+9hUzGcyptba385Cc/ZsaMmRN0Zz4+PhONrgTu0bISADBNkx/84Af84he/4LLLLqOzs5OamprS87W1tXR0dEykCYccIQTf/OZ/8cMffpcbbngnhmFQVlbOt7/9fSorq/jiF7/Gd7/7TX75y5/hODbHHXc8//zPny29fnBPQAhvA3jx4nO54oqrRl3nxhs/wi9/+b986EPvQ9cNdF3jwx++iUWLzj6Ut+vj43MQ0SWH3Akckn4CuVyOD3/4w5x55pls27aN73znO4C3P/Dzn/+cn//85wd0/tdfX8OUKXvuJ+BzdNLa2syCBfMPtxk+PgeFj//fRzBwefPct414fCDdT13VFM467dyDfs0JWwls3rwZy7KYN28e4XCYZcuW8cADD4zozdvZ2Ultbe0+nXespjJSyr3G+ydTI5ThTFa79sRksllKSVdXalI2HIGjvxHKoWQy2n2wbdKkhqu7ZDKFEY/n8zaZdH6/rrW3pjITtiewc+dOvvCFL2BZFpZl8cgjj3DttdeydetWmpubcV2X++67j6VLl06UCT4+Pj5HFDri6MkOOv/881m1ahVXX301uq6zbNkyrrzySiorK/nYxz5GoVDg/PPP57LLLtv7yXx8fHyOATSl4R78tuJ7ZEI3hj/+8Y/z8Y9/fMRjixcv5p577pnIy/r4+PgckehoOGIXL6AUiVQHIl41Idc86iqGfXx8fI5UdHScXXxAZdtqarevpD1SPiHX9NtL+vj4+EwSdDQcjZLGTax3OzXbV9Jb1ki+YtqEXNNfCUwAg9LQbW2tvP3tb+LWW3/EmWcO5e+/7W1X8cMf/oTbb7+N1atXYds2O3fuYMaMWQC8/e3XIoQoyUoP5zOf+RyVlZVcd901peOVkmQyGS6//I184AMfoq2ttfS8EGDbDtXV1Xzuc1+mtrYOgL///W/89re/xnVdNE1w0UWX8O53vw9d17n//nt5+eUXS2qmu/L000/y6U9/kp/97Dbmzp3HihXP8v/+3w8BaGnZQWVlFeFwhIaGKdxyy3dK99vQMAXHcfjFL37Ko48+RDAYJBAIcO217+biiy8B4Oc//wkPPfQAv/rV70pieC+9tJJf/OKn/OhHPz14H5KPzyTEWwkIQpkedCdPw6YnyEer2TZ9IZW7hokOEr4TmGAMw+Bb3/o6v/7174lEoiOe+9SnPothaOzYsZOPfexD/N//3V567v777x0hKz2ctrZWqqtrRhzf3d3Ftde+hYsvXkYwGBz1/P/8z4+49dZvc8st3+H+++/lD3/4Ld/4xneYOrWRbDbDf/zHV/jP//w6//ZvX9rrPd133z1ccMHF3H33n5g79wucddZizjprMTCy58FYfOtb/4FlFfjFL35DJBKlpWUnn/nMJ7Bti8suuxKAjo52fvKT/+bjH//UXm3x8TmaEFoAKQTTVt+LDmQDER6fOZ/N1gaW2PEJuaYfDppgqqtrOPPMs/jhD783odfp7u5GKUUkEhnz+VNOOY0dO7YD8Itf/JRPfOLTTJ3aCEAkEuVf//WLPPTQg7S3j1ZgHU5/fz8rVz7PRz/6CR577OGSbMV4aG1t4fHHH+Vf//VLJYc4dWojH/vYzfziF0Oz/De/+RoeeeQhVq16Zdzn9vE5GsgGPd2zH8xu4sfHzeJbTeU8mV9HUmbRhb6XV+8fR91KwN7wDPb6J0c9LsTu1T3HizlnKeYJ+16xd9NNn+SGG67lhReeGxEW2huDEhKl65sm//u/vwK8mf9733s9llVgYKCfuXMX8I1vfIfa2rpRktWO4/Doow9x0kmn0NfXR3t7G/PnnzjimEQiwcyZs1i/fu0ebfr73//GWWctpqFhCnPmzOfBB//GNde8fVz3s27dWmbMmEE4HB7x+CmnnE5rawvJ5AAA8XiCT33qX7nllq/yq1/dPtapfHyOSuqDs9jY2U6r7qAZNsKuhu5pZLLl5M+emF4hR50TmIxEozE++9kvlMJC42V34SCgFO6RUvKjH93K5s2bWLjwzNLzg04CwLYt5s1bwD/9002lamvXdUad03Hsvdp0//338o//eCMAF198CX/60x3jdgJCUBLV29t1ly69gMcee5if/OS/WbLk4KnM+vhMZpbOmUmmuxtFjGwGHBeIggxbREL+nsC4ME84d8zZ+uGWOli06OwJCQtpmsZHPvIJ3ve+6/nd727j3e9+H8CoPYHhTJ3ayOrVr5Xi+OCFeVpadjJnznxeeumFMV+3YcM6tmzZxK23fofvfe+7SCnp7u5i9epXOfHEk/dq67x5J7Jjx3aSySSJxJB89urVrzFlylQSibIRx99882d497vfOepxH5+jlXBAZ2a9TXlsZKQ+nbOIhSYmeu/vCRxCbrrpkzz//LN0d3cd1PMahsFHP/pJfv3rX9LT073X4z/4wX/iBz/4Li0tOwFPrfRb3/oaF1+8bER/gl25//57edOb3sLdd9/PnXfey113/ZVLL72Cu+++a1x21tfXs2zZ5Xzzm18jm80C0NKykx/+8L94//tvHHV8IlHGpz71r/zqVwcmMOjjc6QgtImJ+++Jo24lMJkZDAv98z/fNK7jd90TAHjnO6/n1FNPH3Xs2Wefw4IFJ/K///v/eM97PrDH877hDZei6zpf+tK/YVkFpJS84Q2XllYR4MX+h/c9uP76G3jooQf4wQ9+sos97+JDH3ovH/vYP4+Y3e+Of/7nz3Lbbb/kgx+8ASE0AoEA//iPH+bii5eNefzSpRdwwQUX09XVuddz+/gc6WhCwCFuKnNIpKQPJmOpiLa3N1Nfv2cp6cMdDtodk9WuPTGZbB787CejwiQcG8qXh4rJaPfBtimZTrLi1Ycoj1WPeDydS1JdVsdJc8duQLUnDpuKqI+Pj4/PviG0Qz8k+07Ax8fHZ5KgaxqHelj2nYCPj4/PJEGggzq0oVbfCfj4+PhMEoQuvIKaQ4jvBHx8fHwmCbqmHeLcIN8J+Pj4+EwaNKHhrQMOnSvwnYCPj4/PJEETAoWGOoT7An6x2ASwO/37sfoMLF58Tun5Qd19YES/gEGuuupq3vrWdwCeKNxb33olF1xwMTff/C+lY37+859w9913UVnptaKzbQtd1/n0p/+Nk08+dSJu18fH5yAhhEATGkoqJkg0dBS+EzhMDPYZ+O1v7yAYDI96fk/aPwDPPbecefMW8OijD/NP//RxQqEhhcE3v/kaPvCBD5X+vuOO2/nhD28tKZD6+PhMXnRNO2DF433BDwcdJgb7DPzgB/+1X6+///57Wbr0QubNW8DDDz+42+OklHR0dPgibD4+RwhCaMhDuCdw1K0EVrS9yLNto1UwhSi17dxvFjecyVkNCw/sJMO46aZP8p73jN1nYLgU9CBf/OJXmT37OPr6+njhhRX8679+EV3XufPO3/PGN765dNzdd9/FU089QSqVRCnFOecsGVfHMB8fn8OPpukHPljtAxPqBH70ox/xt7/9DYDzzz+ff/mXf2H58uXccsstFAoF/n97dx8VVdXvAfw7L4yioKK8aWCiV9RQhhQyVHBRoPKqizRJMRMVo6RMMzIxn+yaSr4kuBagYitZahESKg+RqGVq1zKXQGmJECpekAEEhkGBYeZ3//ByYnTAx2RgdH6ftViLmdn7nO/sc2b2nHNm9vb398c777xjyAhGrXdvC6xatQYbNvz3ffMMdHQ6KDf3W4wb544+ffrAy2syNm1aj8LCP+HsPBLA36eDqqur8PbbUXB2Hglra2u9y2KMGZe7RwJPwIXhn376CadPn8Y333wDkUiERYsWISsrC5s3b0ZqaioGDhyIJUuW4OTJk5g8ufMmDRk/cJzeT+vGNOhZW+PHez70PAP//vcRVFdXYubMYAB3B4jKzDyI995brVNuwABrxMTEYtmyNzBunIcwnSRjzHiZiaVQa5u6bH0GuyZgY2OD999/HzKZDGZmZhg2bBiuXr2Kp59+Go6OjpBKpQgODkZOTo6hIjw2HmaegcuX/4RCUYGDB7OQnn4E6elHEBf3GXJzv8Pt2w33lR8zRo5Jk7yRmBhviOiMsU4mEkuEr4gSANKoIdK2ANIeBlmfwY4Ehg8fLvx/9epVZGdnY968ebCxsRHut7W1RUVFhaEidKuCgjz4+XkJt6dM8W+3rL55BvRdE3BzexZEhICAYPTo8fe3gcaOdYej42AcPfqt3uUvWbIU4eGzkJ+fB7nc7R8+I8ZYVxCLxIBGA3VTE7QtapBYjNvmNrDp1c8g6zP4fAJXrlzBkiVLEB0dDalUipMnT2Lz5s0A7p4ySklJQUrKo80cdfHiJQwa1PF8AuzJVFZ2DS4uz3R3DMY6zZkL/4Oyyv+Fhbk5bGz7QdS7N/r07AvHfoPQ0wBHAwa9MHz+/Hm89dZb+OCDDxAYGIhffvkFVVV/T3+oUChga2v7UMvUN6mMVqt94Pl+Y70mYKy5OmJMmbVaLSor641ywhHANCZC6SrGmNsQmUg8ALI+Ulj1NwckYgwQD0Bv6oX6mmbUo/mhl/egSWUM1gmUl5fjzTffxLZt2+DpeXdCc7lcjpKSEly7dg0ODg7IysrCSy+9ZKgIjDH22Blqa4v/Etv9/9wChmewTiAlJQVNTU3YuHGjcF9YWBg2btyI6OhoNDU1YfLkyZg2bZqhIjDG2GPHTNq1k80brBOIjY1FbGys3scOHz7c6esjIoi6eBxu1r0es+mxGTNKT8SwEVKpDA0NSn5TMCFEhIYGJaRSWXdHYeyx9kQMG2FlZYOamkqoVLXtlhGLxdBqjeNiZlvGmqsjxpJZKpXBysrmwQUZY+16IjoBiUQKa+uBHZYxxm8WAMabqyOPY2bGmH5PxOkgxhhj/wx3AowxZsIeu9NBYvE//wbQo9Q1JGPN1RFjzGyMmQDjzGWMmf4TxpjbGDO19aB8Bh82gjHGmPHi00GMMWbCuBNgjDETxp0AY4yZMO4EGGPMhHEnwBhjJow7AcYYM2HcCTDGmAnjToAxxkwYdwKMMWbCun3YCJVKhbCwMCQlJcHBwQEZGRnYvXs3JBIJxo8fj/fffx91dXWIiIgQ6tTX16OmpgYXLlyAUqnEu+++i9LSUvTv3x+fffYZbGzuH164rKwMK1euRHV1NZycnLB582b07t1beDw9PR2//vqrMBPavbn27NmD7du3Q6PRwM7ODhkZGWhpaRFy1dbWQqlUAoBBc7Vn+/btaGlpwffff4+kpCSUl5dj8eLF0Gg0EIlEcHBwwOHDhw3alsXFxVizZg0aGhrQs2dP/Otf/4Kjo+N92zcpKQkKhQJmZmYYO3YsYmNjsXTpUmH5FRUVUCqVuHTpkkEyjRo1qt39rqamBg4ODjhw4ADq6uoQFhaGGzduwMzMDFqtFlqttlNyFRUVITY2Frdv30bfvn2xceNG9O3bt1vbSl+mp556yqj3uVY3b95ESEgIMjIy4ODgcN/23bdvHzZv3gy1Wg0rKyukpaVBJpMJuRoaGqBQKCCRSAyaqz33vs7LysoQGBiIwYMHAwCsra2RkpLSbv1HQt0oLy+PgoKCyMXFhUpLS6m4uJi8vLyooqKCiIjWrl1Le/bs0amj0WgoPDycDh8+TEREH330ESUnJxMR0TfffENvv/223nVFRkZSVlYWERHt2LGD4uLiiIiosbGRPv30U3Jzc6OYmJh2c40ePZr2799PREQvvfQSzZs3T6e+XC6nCRMmGDSXPkqlklatWkWjR48mT09PIXNcXByNHTu2S9syLCyMTpw4QUREP/30E/n6+urdvvPnz6esrCxau3YtRURE6DznuLg4GjlyJM2ZM8cgmYKDg/Vu30mTJtGyZcvI1dWVQkNDhbZKSUmhpKSkTm+r8PBwOnnyJBER7d+/nxYsWNDtbXVvpuXLl+utb0z7XOsyIyIiyM3NjUpLS/VuX7lcTlu2bCEioldffZVCQkKEuikpKeTh4UHjxo0zaC592nud5+Tk0Jo1a/TW6WzdejooLS0Na9euha2tLQDg8uXLcHNzE277+Pjg2LFjOnUOHjwIc3NzBAcHAwB++OEH4f+goCD8+OOPUKvVOnXUajXOnTuHqVOnAgBCQ0ORk5MDADh37hy0Wi1WrlzZbq5Lly5Bo9Fg1qxZAIC5c+fiwoULOvV9fX0hkUgMmkuf48ePY8iQIRg6dCgmT54sZD5//jxkMhkiIyPx+uuvQy6XG7wtZ82aBW9vbwDAiBEjUF5eft/2lcvlKCgowNSpU+Hj4wOlUqnznP/8808MGzYMjo6OBsukb7+zs7PDqFGjsGDBAgwZMkRoq99++w1nzpzBCy+8gKKiIri7u3dKrs8//xze3t7QarUoKyvDzZs3u72t7s3Up08f6GNM+xwA7N69GxMmTICVlRUA/e8rRIRXXnkFADB//nwUFhZCrVajuLgYxcXFCAwMhFgsNmgufdp7nf/2228oLCxEaGgoXn31VVy+fLndZTyqbu0E1q9fL7yoAGDkyJHIz89HeXk5NBoNcnJyUFVVJTyu0WiQmJiIFStWCPcpFArhME0qlcLCwgK3bt3SWU9NTQ0sLCwgld49+2VjY4OKigoAwKRJk/Dee++hZ8+e7eayt7cHEaGyshIajQY///wzmpubhforVqzA6dOn4eLiYtBc+syYMQORkZHw9fXFoEGDhPsHDhwIrVaLxMREeHl5IS4uzuBtGRoaConk7iTZ8fHxCA4Ovm/75uXlwdzcHCKRCDk5OairqxPqe3p6oqSkBAEBAQbL5Ovrq3e/q6ysRHBwMEQiEYqLi4W2srS0RHh4OMRiMWbPno133nmnU3JJpVIolUp4e3vjwIED2LJlS7e31b2ZXn75ZehjTPvc77//jp9//hkLFiwQyuvbvo2NjWhpaYFGo0Fubi5EIhFu3bqF4cOHY926dTh69KjQmRoqlz7tvc579OiBGTNmICMjAwsXLsSbb74pvOd0NqO6MOzk5IQVK1YgKioKc+fOxYgRI2BmZiY8furUKTg5OWHEiBEdLkcs1n1apGeg1IeZlN7R0REWFhZCLmdnZ536p06dgrW1Nfr27duluTqybds2rF69GlFRUThy5AgaGhp01m+otiQibNq0Cfn5+fjggw90yjk5OSEyMhK1tbU627e1fmsme3v7LsvUmqt1v8vIyMCAAQOE/W7dunWQyWRwcnLCsmXLUFRUhPp6/bOqPWyuPn364PTp09i6dSuioqKg0Wh0MnVHW3WU6UG6ep+7c+cO1q1bh48//vi+Om05OTlBIpFg6dKlQlu2Xc+pU6dgb2+PXr16dWmujkRHRyMsLAwAMHnyZPTq1Qt//fXXP1rWg3T7heG2mpqa4OrqiszMTAC4r3c+duyYzicfALC1tUVVVRXs7e3R0tIClUqFfv36Yfr06UKZ9PR0qFQqaDQaSCQSVFZWCoeK7Zk+fToqKiqwePFifP3111Cr1Th48CAkEgm++uor9OjRQyeXq6urzry7hszV6tChQ3rLEBESEhIQEBAgtKVcLhcuMrVm7uy2bGlpQUxMDCoqKrB3715YWloCgNCOUqkU27ZtQ48ePbBv3z4cP34cdnZ2aGxs7PJMbbdvZmamsN8lJCSguLgYMpkMWq0WycnJuHHjhk4uqVT6yLmys7Ph7+8PkUgEb29vNDY2Cp/0u6ut2svU9tOsMe1zv/76K6qqqhAVFQXg7qf3yMhI7NixAxs2bBDaMjk5GdbW1khOToa9vT2+/fZbAEC/fv2EXM8//zwKCgq6JJdCoQAA7Ny5E3Z2dnrbMzU1FUFBQcKpJCISjjg6m1EdCdy+fRvz58+HSqVCc3MzUlNTdXaavLw8ncM84G4v2brTZWdnw93dHWZmZjh06JDwZ2ZmBnd3d2RnZwMAMjMzhfPE7Tl06BDs7Oywa9cuqNVqaLVaZGRkoLm5GcnJyRg7dqxOriFDhnRZrta/9ohEIuTm5mLOnDlQqVRIT0+HTCZDUFCQQdty06ZNUKlU2LNnj/BmC0Box71792LhwoVwc3PD4cOHkZqaCktLS6F+V2Zqu33b7ncajQb5+fkICAiAWCxGbm4uTp8+DXd3d2RmZkIul8Pc3PyRc+3Zswe5ubkAgLNnz8LKygr9+/fv1rZqL5Ox7nNeXl44ceKEUM7W1hY7d+7E0KFDsWvXLqEtLS0tUV9fj7S0NDQ3NyM+Ph7Dhw8Xjvby8vLuOzoxZK7W+9vrAIC71wrS09MBAL/88gu0Wi2GDh3abvlH0iWXnx/Ax8dHuHqelpZGAQEBNGXKFIqPj9cp5+rqSo2NjTr31dTU0JIlSyggIIBmz57d7lX4GzduUHh4OPn7+1NERATV1tbqPH7w4MH7voXTNtfOnTtJLpeTi4sLvfjiizr1XV1d6csvv9Spb8hc+sTHx1N8fLyQubCwkHx9fWn06NE0ZswYWr9+vU75zm7L6upqGjVqFPn5+VFISIjwd287pqWlkZ+fH40ZM4bGjx+v85xbM7V9zobKpC9XQEAAeXh40Ny5c4UyhYWFNGLECJo2bRqFh4dTWVnZI+ciIrpy5QqFhYVRSEgIzZ07lwoLC7u1rTrK1J7u3ufu1bbt7r39xRdfkJubG7m4uJC3t7dOOVdXV/rxxx8pPDy8S3Lpc+/r/ObNm/Taa69RYGAghYaG0h9//NFh/UfBM4sxxpgJM6rTQYwxxroWdwKMMWbCuBNgjDETxp0AY4yZMO4EGGPMhHEnwJ5oERERuHXrFhYvXoyioiKDrqu0tBTR0dEGXQdjnc2ofjHMWGc7c+YMAGDXrl0GX1dZWRlKSkoMvh7GOhP/ToA9sVatWoWMjAw4OzujqKgIaWlpuH37NrZu3QpbW1tcuXIF5ubmiI6ORmpqKkpKSjBlyhRhfKETJ04gMTERarUaPXv2RExMDJ599lkUFxdj9erVaG5uBhFh5syZCAsLw7Rp01BRUQEPDw+kpKQgKSkJx44dQ1NTE+7cuYOYmBj4+fkhISEB169fR2lpKRQKBVxdXTFx4kRkZmbixo0bWLlyJYKCgpCQkIArV66gqqoK1dXVGDlyJNavXw8LC4tubln2RDHYz9AYMwLOzs5UXV1NPj4+VFBQQGfPnqVRo0bRxYsXiYho4cKFNHv2bGpqaqLq6mpycXGhmzdvUklJCQUFBdGtW7eI6O4vhydOnEgNDQ20atUqYax5hUJBy5YtI41GQ2fPnqXAwEAiuvtL0nnz5tGdO3eIiCgrK4uCgoKIiIRf2SqVSrpz5w55eHjQhg0biIgoNzeXpkyZIpTz9vamyspK0mg0tHz5ctq4cWPXNR4zCXw6iJkcBwcHPPPMMwCAwYMHw9LSEjKZDP3790fv3r1RV1eHc+fOQaFQ4LXXXhPqiUQiXL9+HX5+foiJiUFBQQE8PT0RGxt732iRTz31FDZt2oQjR47g2rVryM/PR0NDg/D4hAkThLGMbG1t4eXlJeSpra0Vyk2bNg3W1tYAgJkzZ+KTTz5BTEyMIZqFmSi+MMxMjkwm07mtb3RGrVYLT09PnQHD0tLSMHz4cPj4+OC7776Dv78//vjjDwQHB+P69es69S9evIiwsDCoVCpMnDgRixYteugMAIS5EFoz/dOhiRlrD+9R7IkmkUjQ0tLy0PWef/55nDlzBsXFxQCAkydPIiQkBE1NTVixYgWys7MRGBiItWvXwsLCAuXl5ZBIJMLsU+fOncPo0aOxYMECPPfcczh+/PhDjc3f6vjx46ivr4dWq0VaWhp8fHweehmMdYRPB7Enmp+fH+bMmaNzKuY/0Trj1PLly4Wx3BMTE9GrVy+88cYbWL16Nb766itIJBL4+vriueeeg1KphEQiwcyZM5GUlISjR48iICAAZmZm8PT0RF1dHVQq1UPlsLa2xuLFi1FTUwMPDw+8/vrrD1WfsQfhbwcxZqQSEhJQU1ODDz/8sLujsCcYnw5ijDETxkcCjDFmwvhIgDHGTBh3AowxZsK4E2CMMRPGnQBjjJkw7gQYY8yEcSfAGGMm7P8AlXddWy1kiA4AAAAASUVORK5CYII=\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x=\"timestamp\", y=\"power_draw\", hue='power_model', data=x)" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<AxesSubplot:xlabel='timestamp', ylabel='cpu_usage'>" - ] - }, - "execution_count": 127, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x=\"timestamp\", y=\"cpu_usage\", data=x)" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<AxesSubplot:xlabel='timestamp', ylabel='cpu_demand'>" - ] - }, - "execution_count": 128, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x=\"timestamp\", y=\"cpu_demand\", data=x)" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<AxesSubplot:xlabel='timestamp', ylabel='requested_burst'>" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x=\"timestamp\", y=\"requested_burst\", data=x)" - ] - }, - { - "cell_type": "code", - "execution_count": 130, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<AxesSubplot:xlabel='timestamp', ylabel='granted_burst'>" - ] - }, - "execution_count": 130, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x=\"timestamp\", y=\"granted_burst\", data=x)" - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<AxesSubplot:xlabel='timestamp', ylabel='overcommissioned_burst'>" - ] - }, - "execution_count": 131, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x=\"timestamp\", y=\"overcommissioned_burst\", data=x)" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<AxesSubplot:xlabel='timestamp', ylabel='vm_count'>" - ] - }, - "execution_count": 105, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.lineplot(x=\"timestamp\", y=\"vm_count\", data=df.resample('1D').mean())" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/simulator/opendc-experiments/opendc-experiments-energy21/src/main/kotlin/org/opendc/experiments/energy21/EnergyExperiment.kt b/simulator/opendc-experiments/opendc-experiments-energy21/src/main/kotlin/org/opendc/experiments/energy21/EnergyExperiment.kt deleted file mode 100644 index bb6dcd3a..00000000 --- a/simulator/opendc-experiments/opendc-experiments-energy21/src/main/kotlin/org/opendc/experiments/energy21/EnergyExperiment.kt +++ /dev/null @@ -1,220 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.energy21 - -import io.opentelemetry.api.metrics.MeterProvider -import io.opentelemetry.sdk.metrics.SdkMeterProvider -import io.opentelemetry.sdk.metrics.export.MetricProducer -import kotlinx.coroutines.CoroutineScope -import kotlinx.coroutines.ExperimentalCoroutinesApi -import kotlinx.coroutines.channels.Channel -import kotlinx.coroutines.coroutineScope -import mu.KotlinLogging -import org.opendc.compute.service.ComputeService -import org.opendc.compute.service.scheduler.ComputeScheduler -import org.opendc.compute.service.scheduler.FilterScheduler -import org.opendc.compute.service.scheduler.filters.ComputeCapabilitiesFilter -import org.opendc.compute.service.scheduler.filters.ComputeFilter -import org.opendc.compute.service.scheduler.weights.RandomWeigher -import org.opendc.compute.simulator.SimHost -import org.opendc.experiments.capelin.* -import org.opendc.experiments.capelin.monitor.ParquetExperimentMonitor -import org.opendc.experiments.capelin.trace.Sc20StreamingParquetTraceReader -import org.opendc.harness.dsl.Experiment -import org.opendc.harness.dsl.anyOf -import org.opendc.simulator.compute.SimFairShareHypervisorProvider -import org.opendc.simulator.compute.SimMachineModel -import org.opendc.simulator.compute.cpufreq.* -import org.opendc.simulator.compute.model.MemoryUnit -import org.opendc.simulator.compute.model.ProcessingNode -import org.opendc.simulator.compute.model.ProcessingUnit -import org.opendc.simulator.compute.power.* -import org.opendc.simulator.core.runBlockingSimulation -import org.opendc.telemetry.sdk.toOtelClock -import java.io.File -import java.time.Clock -import java.util.* -import kotlin.random.asKotlinRandom - -/** - * Experiments for the OpenDC project on Energy modeling. - */ -public class EnergyExperiment : Experiment("Energy Modeling 2021") { - /** - * The logger for this portfolio instance. - */ - private val logger = KotlinLogging.logger {} - - /** - * The path to where the traces are located. - */ - private val tracePath by anyOf(File("input/traces/")) - - /** - * The path to where the output results should be written. - */ - private val outputPath by anyOf(File("output/")) - - /** - * The traces to test. - */ - private val trace by anyOf("solvinity") - - /** - * The power models to test. - */ - private val powerModel by anyOf(PowerModelType.LINEAR, PowerModelType.CUBIC, PowerModelType.INTERPOLATION) - - @OptIn(ExperimentalCoroutinesApi::class) - override fun doRun(repeat: Int): Unit = runBlockingSimulation { - - val chan = Channel<Unit>(Channel.CONFLATED) - val allocationPolicy = FilterScheduler( - filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), - weighers = listOf(RandomWeigher(Random(0)) to 1.0) - ) - - val meterProvider: MeterProvider = SdkMeterProvider - .builder() - .setClock(clock.toOtelClock()) - .build() - - val monitor = ParquetExperimentMonitor(outputPath, "power_model=$powerModel/run_id=$repeat", 4096) - val trace = Sc20StreamingParquetTraceReader(File(tracePath, trace), random = Random(1).asKotlinRandom()) - - withComputeService(clock, meterProvider, allocationPolicy) { scheduler -> - withMonitor(monitor, clock, meterProvider as MetricProducer, scheduler) { - processTrace( - clock, - trace, - scheduler, - chan, - monitor - ) - } - } - - val monitorResults = collectMetrics(meterProvider as MetricProducer) - logger.debug { - "Finish SUBMIT=${monitorResults.submittedVms} " + - "FAIL=${monitorResults.unscheduledVms} " + - "QUEUE=${monitorResults.queuedVms} " + - "RUNNING=${monitorResults.runningVms}" - } - } - - /** - * Construct the environment for a simulated compute service.. - */ - public suspend fun withComputeService( - clock: Clock, - meterProvider: MeterProvider, - scheduler: ComputeScheduler, - block: suspend CoroutineScope.(ComputeService) -> Unit - ): Unit = coroutineScope { - val model = createMachineModel() - val hosts = List(64) { id -> - SimHost( - UUID(0, id.toLong()), - "node-$id", - model, - emptyMap(), - coroutineContext, - clock, - meterProvider.get("opendc-compute-simulator"), - SimFairShareHypervisorProvider(), - PerformanceScalingGovernor(), - powerModel.driver - ) - } - - val serviceMeter = meterProvider.get("opendc-compute") - val service = - ComputeService(coroutineContext, clock, serviceMeter, scheduler) - - for (host in hosts) { - service.addHost(host) - } - - try { - block(this, service) - } finally { - service.close() - hosts.forEach(SimHost::close) - } - } - - /** - * The machine model based on: https://www.spec.org/power_ssj2008/results/res2020q1/power_ssj2008-20191125-01012.html - */ - private fun createMachineModel(): SimMachineModel { - val node = ProcessingNode("AMD", "am64", "EPYC 7742", 64) - val cpus = List(node.coreCount) { id -> ProcessingUnit(node, id, 3400.0) } - val memory = List(8) { MemoryUnit("Samsung", "Unknown", 2933.0, 16_000) } - - return SimMachineModel(cpus, memory) - } - - /** - * The power models to test. - */ - public enum class PowerModelType { - CUBIC { - override val driver: ScalingDriver = SimpleScalingDriver(CubicPowerModel(206.0, 56.4)) - }, - - LINEAR { - override val driver: ScalingDriver = SimpleScalingDriver(LinearPowerModel(206.0, 56.4)) - }, - - SQRT { - override val driver: ScalingDriver = SimpleScalingDriver(SqrtPowerModel(206.0, 56.4)) - }, - - SQUARE { - override val driver: ScalingDriver = SimpleScalingDriver(SquarePowerModel(206.0, 56.4)) - }, - - INTERPOLATION { - override val driver: ScalingDriver = SimpleScalingDriver( - InterpolationPowerModel( - listOf(56.4, 100.0, 107.0, 117.0, 127.0, 138.0, 149.0, 162.0, 177.0, 191.0, 206.0) - ) - ) - }, - - MSE { - override val driver: ScalingDriver = SimpleScalingDriver(MsePowerModel(206.0, 56.4, 1.4)) - }, - - ASYMPTOTIC { - override val driver: ScalingDriver = SimpleScalingDriver(AsymptoticPowerModel(206.0, 56.4, 0.3, false)) - }, - - ASYMPTOTIC_DVFS { - override val driver: ScalingDriver = SimpleScalingDriver(AsymptoticPowerModel(206.0, 56.4, 0.3, true)) - }; - - public abstract val driver: ScalingDriver - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-serverless20/README.md b/simulator/opendc-experiments/opendc-experiments-serverless20/README.md deleted file mode 100644 index 40855ad0..00000000 --- a/simulator/opendc-experiments/opendc-experiments-serverless20/README.md +++ /dev/null @@ -1,7 +0,0 @@ -OpenDC Serverless -================= - -This module contains a reproduction of the experiments of Soufiane Jounaid's BSc Computer Science thesis: -OpenDC Serverless: Design, Implementation and Evaluation of a FaaS Platform Simulator [1] - -[1] https://drive.google.com/file/d/12hox3PwagpD0jNFA57tO4r2HqvOonkY3/view?usp=sharing diff --git a/simulator/opendc-experiments/opendc-experiments-serverless20/build.gradle.kts b/simulator/opendc-experiments/opendc-experiments-serverless20/build.gradle.kts deleted file mode 100644 index 40b15af4..00000000 --- a/simulator/opendc-experiments/opendc-experiments-serverless20/build.gradle.kts +++ /dev/null @@ -1,46 +0,0 @@ -/* - * Copyright (c) 2020 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -description = "Experiments for OpenDC Serverless" - -/* Build configuration */ -plugins { - `kotlin-library-conventions` - `experiment-conventions` - `testing-conventions` -} - -dependencies { - api(platform(project(":opendc-platform"))) - api(project(":opendc-harness")) - implementation(project(":opendc-serverless:opendc-serverless-service")) - implementation(project(":opendc-serverless:opendc-serverless-simulator")) - implementation(project(":opendc-telemetry:opendc-telemetry-sdk")) - - implementation("io.github.microutils:kotlin-logging") - - implementation("org.apache.parquet:parquet-avro:${versions["parquet-avro"]}") - implementation("org.apache.hadoop:hadoop-client:${versions["hadoop-client"]}") { - exclude(group = "org.slf4j", module = "slf4j-log4j12") - exclude(group = "log4j") - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/ServerlessExperiment.kt b/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/ServerlessExperiment.kt deleted file mode 100644 index 67b5ea54..00000000 --- a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/ServerlessExperiment.kt +++ /dev/null @@ -1,137 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.serverless - -import io.opentelemetry.api.metrics.MeterProvider -import io.opentelemetry.sdk.metrics.SdkMeterProvider -import kotlinx.coroutines.ExperimentalCoroutinesApi -import kotlinx.coroutines.coroutineScope -import kotlinx.coroutines.delay -import kotlinx.coroutines.launch -import mu.KotlinLogging -import org.opendc.experiments.serverless.trace.FunctionTraceWorkload -import org.opendc.experiments.serverless.trace.ServerlessTraceReader -import org.opendc.harness.dsl.Experiment -import org.opendc.harness.dsl.anyOf -import org.opendc.serverless.service.ServerlessService -import org.opendc.serverless.service.router.RandomRoutingPolicy -import org.opendc.serverless.simulator.SimFunctionDeployer -import org.opendc.serverless.simulator.delay.ColdStartModel -import org.opendc.serverless.simulator.delay.StochasticDelayInjector -import org.opendc.simulator.compute.SimMachineModel -import org.opendc.simulator.compute.model.MemoryUnit -import org.opendc.simulator.compute.model.ProcessingNode -import org.opendc.simulator.compute.model.ProcessingUnit -import org.opendc.simulator.core.runBlockingSimulation -import org.opendc.telemetry.sdk.toOtelClock -import java.io.File -import java.util.* -import kotlin.math.max - -/** - * A reproduction of the experiments of Soufiane Jounaid's BSc Computer Science thesis: - * OpenDC Serverless: Design, Implementation and Evaluation of a FaaS Platform Simulator. - */ -public class ServerlessExperiment : Experiment("Serverless") { - /** - * The logger for this portfolio instance. - */ - private val logger = KotlinLogging.logger {} - - /** - * The path to where the traces are located. - */ - private val tracePath by anyOf(File("../../input/traces/serverless")) - - /** - * The path to where the output results should be written. - */ - private val outputPath by anyOf(File("output/")) - - /** - * The routing policy to test. - */ - private val routingPolicy by anyOf(RandomRoutingPolicy()) - - /** - * The cold start models to test. - */ - private val coldStartModel by anyOf(ColdStartModel.LAMBDA, ColdStartModel.AZURE, ColdStartModel.GOOGLE) - - @OptIn(ExperimentalCoroutinesApi::class) - override fun doRun(repeat: Int): Unit = runBlockingSimulation { - val meterProvider: MeterProvider = SdkMeterProvider - .builder() - .setClock(clock.toOtelClock()) - .build() - - val trace = ServerlessTraceReader().parse(tracePath) - val traceById = trace.associateBy { it.id } - val delayInjector = StochasticDelayInjector(coldStartModel, Random()) - val deployer = SimFunctionDeployer(clock, this, createMachineModel(), delayInjector) { FunctionTraceWorkload(traceById.getValue(it.name)) } - val service = ServerlessService(coroutineContext, clock, meterProvider.get("opendc-serverless"), deployer, routingPolicy) - val client = service.newClient() - - coroutineScope { - for (entry in trace) { - launch { - val function = client.newFunction(entry.id, entry.maxMemory.toLong()) - var offset = Long.MIN_VALUE - - for (sample in entry.samples) { - if (sample.invocations == 0) { - continue - } - - if (offset < 0) { - offset = sample.timestamp - clock.millis() - } - - delay(max(0, (sample.timestamp - offset) - clock.millis())) - - logger.info { "Invoking function ${entry.id} ${sample.invocations} times [${sample.timestamp}]" } - - repeat(sample.invocations) { - function.invoke() - } - } - } - } - } - - client.close() - service.close() - } - - /** - * Construct the machine model to test with. - */ - private fun createMachineModel(): SimMachineModel { - val cpuNode = ProcessingNode("Intel", "Xeon", "amd64", 2) - - return SimMachineModel( - cpus = List(cpuNode.coreCount) { ProcessingUnit(cpuNode, it, 1000.0) }, - memory = List(4) { MemoryUnit("Crucial", "MTA18ASF4G72AZ-3G2B1", 3200.0, 32_000) } - ) - } -} diff --git a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionSample.kt b/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionSample.kt deleted file mode 100644 index 492f44b9..00000000 --- a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionSample.kt +++ /dev/null @@ -1,44 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.serverless.trace - -/** - * A sample of a single function. - * - * @param timestamp The timestamp of the function. - * @param duration The average execution time of the function. - * @param invocations The number of invocations. - * @param provisionedCpu The provisioned CPU for this function in MHz. - * @param provisionedMem The amount of memory provisioned for this function in MB. - * @param cpuUsage The actual CPU usage in MHz. - * @param memUsage The actual memory usage in MB. - */ -public data class FunctionSample( - val timestamp: Long, - val duration: Long, - val invocations: Int, - val provisionedCpu: Int, - val provisionedMem: Int, - val cpuUsage: Double, - val memUsage: Double -) diff --git a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionTrace.kt b/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionTrace.kt deleted file mode 100644 index 4fea6b96..00000000 --- a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionTrace.kt +++ /dev/null @@ -1,28 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.serverless.trace - -/** - * A trace for a single function - */ -public data class FunctionTrace(val id: String, val maxMemory: Int, val samples: List<FunctionSample>) diff --git a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionTraceWorkload.kt b/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionTraceWorkload.kt deleted file mode 100644 index 7d824857..00000000 --- a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/FunctionTraceWorkload.kt +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.serverless.trace - -import org.opendc.serverless.simulator.workload.SimServerlessWorkload -import org.opendc.simulator.compute.workload.SimTraceWorkload -import org.opendc.simulator.compute.workload.SimWorkload - -/** - * A [SimServerlessWorkload] for a [FunctionTrace]. - */ -public class FunctionTraceWorkload(trace: FunctionTrace) : SimServerlessWorkload, SimWorkload by SimTraceWorkload(trace.samples.asSequence().map { SimTraceWorkload.Fragment(it.duration, it.cpuUsage, 1) }) { - override suspend fun invoke() {} -} diff --git a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/ServerlessTraceReader.kt b/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/ServerlessTraceReader.kt deleted file mode 100644 index 6dc35c59..00000000 --- a/simulator/opendc-experiments/opendc-experiments-serverless20/src/main/kotlin/org/opendc/experiments/serverless/trace/ServerlessTraceReader.kt +++ /dev/null @@ -1,107 +0,0 @@ -/* - * Copyright (c) 2021 AtLarge Research - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to deal - * in the Software without restriction, including without limitation the rights - * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell - * copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -package org.opendc.experiments.serverless.trace - -import mu.KotlinLogging -import java.io.File -import kotlin.math.max - -/** - * A trace reader for the serverless workload trace used in the OpenDC Serverless thesis. - */ -public class ServerlessTraceReader { - /** - * The logger for this portfolio instance. - */ - private val logger = KotlinLogging.logger {} - - /** - * Parse the traces at the specified [path]. - */ - public fun parse(path: File): List<FunctionTrace> { - return if (path.isFile) { - listOf(parseSingle(path)) - } else { - path.walk() - .filterNot { it.isDirectory } - .map { file -> - logger.info { "Parsing $file" } - parseSingle(file) - } - .toList() - } - } - - /** - * Parse a single trace. - */ - private fun parseSingle(path: File): FunctionTrace { - val samples = mutableListOf<FunctionSample>() - val id = path.nameWithoutExtension - var idx = 0 - - var timestampCol = 0 - var invocationsCol = 0 - var execTimeCol = 0 - var provCpuCol = 0 - var provMemCol = 0 - var cpuUsageCol = 0 - var memoryUsageCol = 0 - var maxMemory = 0 - - path.forEachLine { line -> - if (line.startsWith("#") && line.isNotBlank()) { - return@forEachLine - } - - val values = line.split(",") - - /* Header parsing */ - if (idx++ == 0) { - val header = values.mapIndexed { col, name -> Pair(name.trim(), col) }.toMap() - timestampCol = header["Timestamp [ms]"]!! - invocationsCol = header["Invocations"]!! - execTimeCol = header["Avg Exec time per Invocation"]!! - provCpuCol = header["Provisioned CPU [Mhz]"]!! - provMemCol = header["Provisioned Memory [mb]"]!! - cpuUsageCol = header["Avg cpu usage per Invocation [Mhz]"]!! - memoryUsageCol = header["Avg mem usage per Invocation [mb]"]!! - return@forEachLine - } - - val timestamp = values[timestampCol].trim().toLong() - val invocations = values[invocationsCol].trim().toInt() - val execTime = values[execTimeCol].trim().toLong() - val provisionedCpu = values[provCpuCol].trim().toInt() - val provisionedMemory = values[provMemCol].trim().toInt() - val cpuUsage = values[cpuUsageCol].trim().toDouble() - val memoryUsage = values[memoryUsageCol].trim().toDouble() - - maxMemory = max(maxMemory, provisionedMemory) - - samples.add(FunctionSample(timestamp, execTime, invocations, provisionedCpu, provisionedMemory, cpuUsage, memoryUsage)) - } - - return FunctionTrace(id, maxMemory, samples) - } -} |