diff options
Diffstat (limited to 'opendc-simulator/opendc-simulator-compute/src/jmh')
| -rw-r--r-- | opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt | 92 |
1 files changed, 40 insertions, 52 deletions
diff --git a/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt b/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt index 15714aca..cb52d24f 100644 --- a/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt +++ b/opendc-simulator/opendc-simulator-compute/src/jmh/kotlin/org/opendc/simulator/compute/SimMachineBenchmarks.kt @@ -25,18 +25,20 @@ package org.opendc.simulator.compute import kotlinx.coroutines.ExperimentalCoroutinesApi import kotlinx.coroutines.coroutineScope import kotlinx.coroutines.launch -import org.opendc.simulator.compute.cpufreq.PerformanceScalingGovernor -import org.opendc.simulator.compute.cpufreq.SimpleScalingDriver +import org.opendc.simulator.compute.kernel.SimFairShareHypervisor +import org.opendc.simulator.compute.kernel.SimSpaceSharedHypervisor +import org.opendc.simulator.compute.model.MachineModel 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.ConstantPowerModel +import org.opendc.simulator.compute.power.SimplePowerDriver +import org.opendc.simulator.compute.workload.SimTrace import org.opendc.simulator.compute.workload.SimTraceWorkload -import org.opendc.simulator.core.SimulationCoroutineScope import org.opendc.simulator.core.runBlockingSimulation -import org.opendc.simulator.resources.SimResourceScheduler -import org.opendc.simulator.resources.SimResourceSchedulerTrampoline +import org.opendc.simulator.flow.FlowEngine import org.openjdk.jmh.annotations.* +import java.util.concurrent.ThreadLocalRandom import java.util.concurrent.TimeUnit @State(Scope.Thread) @@ -45,68 +47,54 @@ import java.util.concurrent.TimeUnit @Measurement(iterations = 5, time = 3, timeUnit = TimeUnit.SECONDS) @OptIn(ExperimentalCoroutinesApi::class) class SimMachineBenchmarks { - private lateinit var scope: SimulationCoroutineScope - private lateinit var scheduler: SimResourceScheduler - private lateinit var machineModel: SimMachineModel + private lateinit var machineModel: MachineModel + private lateinit var trace: SimTrace @Setup fun setUp() { - scope = SimulationCoroutineScope() - scheduler = SimResourceSchedulerTrampoline(scope.coroutineContext, scope.clock) - val cpuNode = ProcessingNode("Intel", "Xeon", "amd64", 2) - machineModel = SimMachineModel( + machineModel = MachineModel( cpus = List(cpuNode.coreCount) { ProcessingUnit(cpuNode, it, 1000.0) }, memory = List(4) { MemoryUnit("Crucial", "MTA18ASF4G72AZ-3G2B1", 3200.0, 32_000) } ) - } - @State(Scope.Benchmark) - class Workload { - lateinit var trace: Sequence<SimTraceWorkload.Fragment> - - @Setup - fun setUp() { - trace = sequenceOf( - SimTraceWorkload.Fragment(1000, 28.0, 1), - SimTraceWorkload.Fragment(1000, 3500.0, 1), - SimTraceWorkload.Fragment(1000, 0.0, 1), - SimTraceWorkload.Fragment(1000, 183.0, 1), - SimTraceWorkload.Fragment(1000, 400.0, 1), - SimTraceWorkload.Fragment(1000, 100.0, 1), - SimTraceWorkload.Fragment(1000, 3000.0, 1), - SimTraceWorkload.Fragment(1000, 4500.0, 1), - ) + val random = ThreadLocalRandom.current() + val builder = SimTrace.builder() + repeat(10000) { + val timestamp = it.toLong() + val deadline = timestamp + 1000 + builder.add(timestamp, deadline, random.nextDouble(0.0, 4500.0), 1) } + trace = builder.build() } @Benchmark - fun benchmarkBareMetal(state: Workload) { - return scope.runBlockingSimulation { + fun benchmarkBareMetal() { + return runBlockingSimulation { + val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine( - coroutineContext, clock, machineModel, PerformanceScalingGovernor(), - SimpleScalingDriver(ConstantPowerModel(0.0)) + engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0)) ) - return@runBlockingSimulation machine.run(SimTraceWorkload(state.trace)) + return@runBlockingSimulation machine.run(SimTraceWorkload(trace)) } } @Benchmark - fun benchmarkSpaceSharedHypervisor(state: Workload) { - return scope.runBlockingSimulation { + fun benchmarkSpaceSharedHypervisor() { + return runBlockingSimulation { + val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine( - coroutineContext, clock, machineModel, PerformanceScalingGovernor(), - SimpleScalingDriver(ConstantPowerModel(0.0)) + engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0)) ) - val hypervisor = SimSpaceSharedHypervisor() + val hypervisor = SimSpaceSharedHypervisor(engine, null, null) launch { machine.run(hypervisor) } val vm = hypervisor.createMachine(machineModel) try { - return@runBlockingSimulation vm.run(SimTraceWorkload(state.trace)) + return@runBlockingSimulation vm.run(SimTraceWorkload(trace)) } finally { vm.close() machine.close() @@ -115,20 +103,20 @@ class SimMachineBenchmarks { } @Benchmark - fun benchmarkFairShareHypervisorSingle(state: Workload) { - return scope.runBlockingSimulation { + fun benchmarkFairShareHypervisorSingle() { + return runBlockingSimulation { + val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine( - coroutineContext, clock, machineModel, PerformanceScalingGovernor(), - SimpleScalingDriver(ConstantPowerModel(0.0)) + engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0)) ) - val hypervisor = SimFairShareHypervisor(scheduler) + val hypervisor = SimFairShareHypervisor(engine, null, null, null) launch { machine.run(hypervisor) } val vm = hypervisor.createMachine(machineModel) try { - return@runBlockingSimulation vm.run(SimTraceWorkload(state.trace)) + return@runBlockingSimulation vm.run(SimTraceWorkload(trace)) } finally { vm.close() machine.close() @@ -137,13 +125,13 @@ class SimMachineBenchmarks { } @Benchmark - fun benchmarkFairShareHypervisorDouble(state: Workload) { - return scope.runBlockingSimulation { + fun benchmarkFairShareHypervisorDouble() { + return runBlockingSimulation { + val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine( - coroutineContext, clock, machineModel, PerformanceScalingGovernor(), - SimpleScalingDriver(ConstantPowerModel(0.0)) + engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0)) ) - val hypervisor = SimFairShareHypervisor(scheduler) + val hypervisor = SimFairShareHypervisor(engine, null, null, null) launch { machine.run(hypervisor) } @@ -153,7 +141,7 @@ class SimMachineBenchmarks { launch { try { - vm.run(SimTraceWorkload(state.trace)) + vm.run(SimTraceWorkload(trace)) } finally { machine.close() } |
