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Diffstat (limited to 'opendc-experiments/opendc-experiments-energy21/src')
| -rw-r--r-- | opendc-experiments/opendc-experiments-energy21/src/main/kotlin/org/opendc/experiments/energy21/EnergyExperiment.kt | 220 |
1 files changed, 220 insertions, 0 deletions
diff --git a/opendc-experiments/opendc-experiments-energy21/src/main/kotlin/org/opendc/experiments/energy21/EnergyExperiment.kt b/opendc-experiments/opendc-experiments-energy21/src/main/kotlin/org/opendc/experiments/energy21/EnergyExperiment.kt new file mode 100644 index 00000000..bb6dcd3a --- /dev/null +++ b/opendc-experiments/opendc-experiments-energy21/src/main/kotlin/org/opendc/experiments/energy21/EnergyExperiment.kt @@ -0,0 +1,220 @@ +/* + * Copyright (c) 2021 AtLarge Research + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to deal + * in the Software without restriction, including without limitation the rights + * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + * copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ + +package org.opendc.experiments.energy21 + +import io.opentelemetry.api.metrics.MeterProvider +import io.opentelemetry.sdk.metrics.SdkMeterProvider +import io.opentelemetry.sdk.metrics.export.MetricProducer +import kotlinx.coroutines.CoroutineScope +import kotlinx.coroutines.ExperimentalCoroutinesApi +import kotlinx.coroutines.channels.Channel +import kotlinx.coroutines.coroutineScope +import mu.KotlinLogging +import org.opendc.compute.service.ComputeService +import org.opendc.compute.service.scheduler.ComputeScheduler +import org.opendc.compute.service.scheduler.FilterScheduler +import org.opendc.compute.service.scheduler.filters.ComputeCapabilitiesFilter +import org.opendc.compute.service.scheduler.filters.ComputeFilter +import org.opendc.compute.service.scheduler.weights.RandomWeigher +import org.opendc.compute.simulator.SimHost +import org.opendc.experiments.capelin.* +import org.opendc.experiments.capelin.monitor.ParquetExperimentMonitor +import org.opendc.experiments.capelin.trace.Sc20StreamingParquetTraceReader +import org.opendc.harness.dsl.Experiment +import org.opendc.harness.dsl.anyOf +import org.opendc.simulator.compute.SimFairShareHypervisorProvider +import org.opendc.simulator.compute.SimMachineModel +import org.opendc.simulator.compute.cpufreq.* +import org.opendc.simulator.compute.model.MemoryUnit +import org.opendc.simulator.compute.model.ProcessingNode +import org.opendc.simulator.compute.model.ProcessingUnit +import org.opendc.simulator.compute.power.* +import org.opendc.simulator.core.runBlockingSimulation +import org.opendc.telemetry.sdk.toOtelClock +import java.io.File +import java.time.Clock +import java.util.* +import kotlin.random.asKotlinRandom + +/** + * Experiments for the OpenDC project on Energy modeling. + */ +public class EnergyExperiment : Experiment("Energy Modeling 2021") { + /** + * The logger for this portfolio instance. + */ + private val logger = KotlinLogging.logger {} + + /** + * The path to where the traces are located. + */ + private val tracePath by anyOf(File("input/traces/")) + + /** + * The path to where the output results should be written. + */ + private val outputPath by anyOf(File("output/")) + + /** + * The traces to test. + */ + private val trace by anyOf("solvinity") + + /** + * The power models to test. + */ + private val powerModel by anyOf(PowerModelType.LINEAR, PowerModelType.CUBIC, PowerModelType.INTERPOLATION) + + @OptIn(ExperimentalCoroutinesApi::class) + override fun doRun(repeat: Int): Unit = runBlockingSimulation { + + val chan = Channel<Unit>(Channel.CONFLATED) + val allocationPolicy = FilterScheduler( + filters = listOf(ComputeFilter(), ComputeCapabilitiesFilter()), + weighers = listOf(RandomWeigher(Random(0)) to 1.0) + ) + + val meterProvider: MeterProvider = SdkMeterProvider + .builder() + .setClock(clock.toOtelClock()) + .build() + + val monitor = ParquetExperimentMonitor(outputPath, "power_model=$powerModel/run_id=$repeat", 4096) + val trace = Sc20StreamingParquetTraceReader(File(tracePath, trace), random = Random(1).asKotlinRandom()) + + withComputeService(clock, meterProvider, allocationPolicy) { scheduler -> + withMonitor(monitor, clock, meterProvider as MetricProducer, scheduler) { + processTrace( + clock, + trace, + scheduler, + chan, + monitor + ) + } + } + + val monitorResults = collectMetrics(meterProvider as MetricProducer) + logger.debug { + "Finish SUBMIT=${monitorResults.submittedVms} " + + "FAIL=${monitorResults.unscheduledVms} " + + "QUEUE=${monitorResults.queuedVms} " + + "RUNNING=${monitorResults.runningVms}" + } + } + + /** + * Construct the environment for a simulated compute service.. + */ + public suspend fun withComputeService( + clock: Clock, + meterProvider: MeterProvider, + scheduler: ComputeScheduler, + block: suspend CoroutineScope.(ComputeService) -> Unit + ): Unit = coroutineScope { + val model = createMachineModel() + val hosts = List(64) { id -> + SimHost( + UUID(0, id.toLong()), + "node-$id", + model, + emptyMap(), + coroutineContext, + clock, + meterProvider.get("opendc-compute-simulator"), + SimFairShareHypervisorProvider(), + PerformanceScalingGovernor(), + powerModel.driver + ) + } + + val serviceMeter = meterProvider.get("opendc-compute") + val service = + ComputeService(coroutineContext, clock, serviceMeter, scheduler) + + for (host in hosts) { + service.addHost(host) + } + + try { + block(this, service) + } finally { + service.close() + hosts.forEach(SimHost::close) + } + } + + /** + * The machine model based on: https://www.spec.org/power_ssj2008/results/res2020q1/power_ssj2008-20191125-01012.html + */ + private fun createMachineModel(): SimMachineModel { + val node = ProcessingNode("AMD", "am64", "EPYC 7742", 64) + val cpus = List(node.coreCount) { id -> ProcessingUnit(node, id, 3400.0) } + val memory = List(8) { MemoryUnit("Samsung", "Unknown", 2933.0, 16_000) } + + return SimMachineModel(cpus, memory) + } + + /** + * The power models to test. + */ + public enum class PowerModelType { + CUBIC { + override val driver: ScalingDriver = SimpleScalingDriver(CubicPowerModel(206.0, 56.4)) + }, + + LINEAR { + override val driver: ScalingDriver = SimpleScalingDriver(LinearPowerModel(206.0, 56.4)) + }, + + SQRT { + override val driver: ScalingDriver = SimpleScalingDriver(SqrtPowerModel(206.0, 56.4)) + }, + + SQUARE { + override val driver: ScalingDriver = SimpleScalingDriver(SquarePowerModel(206.0, 56.4)) + }, + + INTERPOLATION { + override val driver: ScalingDriver = SimpleScalingDriver( + InterpolationPowerModel( + listOf(56.4, 100.0, 107.0, 117.0, 127.0, 138.0, 149.0, 162.0, 177.0, 191.0, 206.0) + ) + ) + }, + + MSE { + override val driver: ScalingDriver = SimpleScalingDriver(MsePowerModel(206.0, 56.4, 1.4)) + }, + + ASYMPTOTIC { + override val driver: ScalingDriver = SimpleScalingDriver(AsymptoticPowerModel(206.0, 56.4, 0.3, false)) + }, + + ASYMPTOTIC_DVFS { + override val driver: ScalingDriver = SimpleScalingDriver(AsymptoticPowerModel(206.0, 56.4, 0.3, true)) + }; + + public abstract val driver: ScalingDriver + } +} |