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Diffstat (limited to 'opendc-experiments/opendc-experiments-capelin/src/main')
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diff --git a/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/CompositeWorkloadPortfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/CompositeWorkloadPortfolio.kt new file mode 100644 index 00000000..faabe5cb --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/CompositeWorkloadPortfolio.kt @@ -0,0 +1,79 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ExperimentHelpers.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ExperimentHelpers.kt new file mode 100644 index 00000000..763234f8 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ExperimentHelpers.kt @@ -0,0 +1,297 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/HorVerPortfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/HorVerPortfolio.kt new file mode 100644 index 00000000..e1cf8517 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/HorVerPortfolio.kt @@ -0,0 +1,60 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreHpcPortfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreHpcPortfolio.kt new file mode 100644 index 00000000..a995e467 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreHpcPortfolio.kt @@ -0,0 +1,59 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreVelocityPortfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreVelocityPortfolio.kt new file mode 100644 index 00000000..49559e0e --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/MoreVelocityPortfolio.kt @@ -0,0 +1,56 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/OperationalPhenomenaPortfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/OperationalPhenomenaPortfolio.kt new file mode 100644 index 00000000..1aac4f9e --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/OperationalPhenomenaPortfolio.kt @@ -0,0 +1,61 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/Portfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/Portfolio.kt new file mode 100644 index 00000000..b969366c --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/Portfolio.kt @@ -0,0 +1,233 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ReplayPortfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ReplayPortfolio.kt new file mode 100644 index 00000000..b6d3b30c --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/ReplayPortfolio.kt @@ -0,0 +1,50 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/TestPortfolio.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/TestPortfolio.kt new file mode 100644 index 00000000..90840db8 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/TestPortfolio.kt @@ -0,0 +1,47 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/OperationalPhenomena.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/OperationalPhenomena.kt new file mode 100644 index 00000000..b53b3617 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/OperationalPhenomena.kt @@ -0,0 +1,31 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Topology.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Topology.kt new file mode 100644 index 00000000..fe16a294 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Topology.kt @@ -0,0 +1,28 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Workload.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Workload.kt new file mode 100644 index 00000000..c4ddd158 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/model/Workload.kt @@ -0,0 +1,44 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMetricExporter.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMetricExporter.kt new file mode 100644 index 00000000..5f8002e2 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMetricExporter.kt @@ -0,0 +1,160 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMonitor.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMonitor.kt new file mode 100644 index 00000000..68631dee --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ExperimentMonitor.kt @@ -0,0 +1,74 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ParquetExperimentMonitor.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ParquetExperimentMonitor.kt new file mode 100644 index 00000000..983b4cff --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/monitor/ParquetExperimentMonitor.kt @@ -0,0 +1,118 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/Event.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/Event.kt new file mode 100644 index 00000000..c29e116e --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/Event.kt @@ -0,0 +1,35 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/HostEvent.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/HostEvent.kt new file mode 100644 index 00000000..899fc9b1 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/HostEvent.kt @@ -0,0 +1,43 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/ProvisionerEvent.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/ProvisionerEvent.kt new file mode 100644 index 00000000..539c9bc9 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/ProvisionerEvent.kt @@ -0,0 +1,39 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/RunEvent.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/RunEvent.kt new file mode 100644 index 00000000..6c8fc941 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/RunEvent.kt @@ -0,0 +1,34 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/VmEvent.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/VmEvent.kt new file mode 100644 index 00000000..7631f55f --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/VmEvent.kt @@ -0,0 +1,41 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetEventWriter.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetEventWriter.kt new file mode 100644 index 00000000..38930ee5 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetEventWriter.kt @@ -0,0 +1,126 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetHostEventWriter.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetHostEventWriter.kt new file mode 100644 index 00000000..c8fe1cb2 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetHostEventWriter.kt @@ -0,0 +1,81 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetProvisionerEventWriter.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetProvisionerEventWriter.kt new file mode 100644 index 00000000..8feff8d9 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetProvisionerEventWriter.kt @@ -0,0 +1,65 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetRunEventWriter.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetRunEventWriter.kt new file mode 100644 index 00000000..946410eb --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/telemetry/parquet/ParquetRunEventWriter.kt @@ -0,0 +1,72 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20ParquetTraceReader.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20ParquetTraceReader.kt new file mode 100644 index 00000000..a8462a51 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20ParquetTraceReader.kt @@ -0,0 +1,84 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20RawParquetTraceReader.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20RawParquetTraceReader.kt new file mode 100644 index 00000000..ffbf46d4 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20RawParquetTraceReader.kt @@ -0,0 +1,157 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20StreamingParquetTraceReader.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20StreamingParquetTraceReader.kt new file mode 100644 index 00000000..c5294b55 --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20StreamingParquetTraceReader.kt @@ -0,0 +1,284 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20TraceConverter.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20TraceConverter.kt new file mode 100644 index 00000000..7713c06f --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/Sc20TraceConverter.kt @@ -0,0 +1,621 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/WorkloadSampler.kt b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/WorkloadSampler.kt new file mode 100644 index 00000000..5c8727ea --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/kotlin/org/opendc/experiments/capelin/trace/WorkloadSampler.kt @@ -0,0 +1,199 @@ +/* + * 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/opendc-experiments/opendc-experiments-capelin/src/main/resources/log4j2.xml b/opendc-experiments/opendc-experiments-capelin/src/main/resources/log4j2.xml new file mode 100644 index 00000000..d1c01b8e --- /dev/null +++ b/opendc-experiments/opendc-experiments-capelin/src/main/resources/log4j2.xml @@ -0,0 +1,49 @@ +<?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> |