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.

1 files changed, 8 insertions, 8 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 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)