/* * 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.compute.service.ComputeService import org.opendc.compute.service.scheduler.FilterScheduler import org.opendc.compute.service.scheduler.filters.ComputeFilter import org.opendc.compute.service.scheduler.filters.RamFilter import org.opendc.compute.service.scheduler.filters.VCpuFilter import org.opendc.compute.service.scheduler.weights.CoreRamWeigher import org.opendc.experiments.capelin.topology.clusterTopology import org.opendc.experiments.compute.ComputeWorkloadLoader import org.opendc.experiments.compute.VirtualMachine import org.opendc.experiments.compute.replay import org.opendc.experiments.compute.setupComputeService import org.opendc.experiments.compute.setupHosts import org.opendc.experiments.compute.topology.HostSpec import org.opendc.experiments.compute.trace import org.opendc.common.experiments.provisioner.Provisioner import org.opendc.simulator.kotlin.runSimulation import org.openjdk.jmh.annotations.Benchmark import org.openjdk.jmh.annotations.Fork import org.openjdk.jmh.annotations.Measurement import org.openjdk.jmh.annotations.Param import org.openjdk.jmh.annotations.Scope import org.openjdk.jmh.annotations.Setup import org.openjdk.jmh.annotations.State import org.openjdk.jmh.annotations.Warmup import java.io.File import java.util.Random import java.util.concurrent.TimeUnit /** * Benchmark suite for the Capelin experiments. */ @State(Scope.Thread) @Fork(1) @Warmup(iterations = 2, time = 5, timeUnit = TimeUnit.SECONDS) @Measurement(iterations = 5, time = 5, timeUnit = TimeUnit.SECONDS) class CapelinBenchmarks { private lateinit var vms: List private lateinit var topology: List @Param("true", "false") private var isOptimized: Boolean = false @Setup fun setUp() { val loader = ComputeWorkloadLoader(File("src/test/resources/trace")) vms = trace("bitbrains-small").resolve(loader, Random(1L)) topology = checkNotNull(object {}.javaClass.getResourceAsStream("/topology.txt")).use { clusterTopology(it) } } @Benchmark fun benchmarkCapelin() = runSimulation { val serviceDomain = "compute.opendc.org" Provisioner(dispatcher, seed = 0).use { provisioner -> val computeScheduler = FilterScheduler( filters = listOf(ComputeFilter(), VCpuFilter(16.0), RamFilter(1.0)), weighers = listOf(CoreRamWeigher(multiplier = 1.0)) ) provisioner.runSteps( setupComputeService(serviceDomain, { computeScheduler }), setupHosts(serviceDomain, topology, optimize = isOptimized) ) val service = provisioner.registry.resolve(serviceDomain, ComputeService::class.java)!! service.replay(timeSource, vms, 0L, interference = true) } } }