From be176910eb870209576326ffaad8bf21241fccbd Mon Sep 17 00:00:00 2001 From: Fabian Mastenbroek Date: Wed, 5 Oct 2022 14:10:11 +0200 Subject: refactor(sim/core): Rename runBlockingSimulation to runSimulation This change renames the method `runBlockingSimulation` to `runSimulation` to put more emphasis on the simulation part of the method. The blocking part is not that important, but this behavior is still described in the method documentation. --- .../org/opendc/simulator/compute/SimMachineBenchmarks.kt | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) (limited to 'opendc-simulator/opendc-simulator-compute/src/jmh') 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 a2dc9a0f..b319a677 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 @@ -35,7 +35,7 @@ import org.opendc.simulator.compute.workload.SimTrace import org.opendc.simulator.compute.workload.SimTraceWorkload import org.opendc.simulator.flow.FlowEngine import org.opendc.simulator.flow.mux.FlowMultiplexerFactory -import org.opendc.simulator.kotlin.runBlockingSimulation +import org.opendc.simulator.kotlin.runSimulation import org.openjdk.jmh.annotations.* import java.util.SplittableRandom import java.util.concurrent.ThreadLocalRandom @@ -70,18 +70,18 @@ class SimMachineBenchmarks { @Benchmark fun benchmarkBareMetal() { - return runBlockingSimulation { + return runSimulation { val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine( engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0)) ) - return@runBlockingSimulation machine.runWorkload(SimTraceWorkload(trace)) + return@runSimulation machine.runWorkload(SimTraceWorkload(trace)) } } @Benchmark fun benchmarkSpaceSharedHypervisor() { - return runBlockingSimulation { + return runSimulation { val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine(engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0))) val hypervisor = SimHypervisor(engine, FlowMultiplexerFactory.forwardingMultiplexer(), SplittableRandom(1), null) @@ -91,7 +91,7 @@ class SimMachineBenchmarks { val vm = hypervisor.newMachine(machineModel) try { - return@runBlockingSimulation vm.runWorkload(SimTraceWorkload(trace)) + return@runSimulation vm.runWorkload(SimTraceWorkload(trace)) } finally { vm.cancel() machine.cancel() @@ -101,7 +101,7 @@ class SimMachineBenchmarks { @Benchmark fun benchmarkFairShareHypervisorSingle() { - return runBlockingSimulation { + return runSimulation { val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine(engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0))) val hypervisor = SimHypervisor(engine, FlowMultiplexerFactory.maxMinMultiplexer(), SplittableRandom(1), null) @@ -111,7 +111,7 @@ class SimMachineBenchmarks { val vm = hypervisor.newMachine(machineModel) try { - return@runBlockingSimulation vm.runWorkload(SimTraceWorkload(trace)) + return@runSimulation vm.runWorkload(SimTraceWorkload(trace)) } finally { vm.cancel() machine.cancel() @@ -121,7 +121,7 @@ class SimMachineBenchmarks { @Benchmark fun benchmarkFairShareHypervisorDouble() { - return runBlockingSimulation { + return runSimulation { val engine = FlowEngine(coroutineContext, clock) val machine = SimBareMetalMachine(engine, machineModel, SimplePowerDriver(ConstantPowerModel(0.0))) val hypervisor = SimHypervisor(engine, FlowMultiplexerFactory.maxMinMultiplexer(), SplittableRandom(1), null) -- cgit v1.2.3