simulator: Split CPUFreq subsystem in compute simulator

This change splits the functionality present in the CPUFreq subsystem of
the compute simulation. Currently, the DVFS functionality is embedded in
SimBareMetalMachine. However, this functionality should not exist within
the firmware layer of a machine. Instead, the operating system should
perform this logic (in OpenDC this should be the hypervisor).

Furthermore, this change moves the scaling driver into the power
package. The power driver is a machine/firmware specific implementation
that computes the power consumption of a machine.

1 files changed, 5 insertions, 10 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 bc21edc6..fb753de2 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
@@ -25,12 +25,11 @@ 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.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.SimTraceWorkload
 import org.opendc.simulator.core.SimulationCoroutineScope
 import org.opendc.simulator.core.runBlockingSimulation
@@ -84,8 +83,7 @@ class SimMachineBenchmarks {
     fun benchmarkBareMetal(state: Workload) {
         return scope.runBlockingSimulation {
             val machine = SimBareMetalMachine(
-                interpreter, machineModel, PerformanceScalingGovernor(),
-                SimpleScalingDriver(ConstantPowerModel(0.0))
+                interpreter, machineModel, SimplePowerDriver(ConstantPowerModel(0.0))
             )
             return@runBlockingSimulation machine.run(SimTraceWorkload(state.trace))
         }
@@ -95,8 +93,7 @@ class SimMachineBenchmarks {
     fun benchmarkSpaceSharedHypervisor(state: Workload) {
         return scope.runBlockingSimulation {
             val machine = SimBareMetalMachine(
-                interpreter, machineModel, PerformanceScalingGovernor(),
-                SimpleScalingDriver(ConstantPowerModel(0.0))
+                interpreter, machineModel, SimplePowerDriver(ConstantPowerModel(0.0))
             )
             val hypervisor = SimSpaceSharedHypervisor(interpreter)
 
@@ -117,8 +114,7 @@ class SimMachineBenchmarks {
     fun benchmarkFairShareHypervisorSingle(state: Workload) {
         return scope.runBlockingSimulation {
             val machine = SimBareMetalMachine(
-                interpreter, machineModel, PerformanceScalingGovernor(),
-                SimpleScalingDriver(ConstantPowerModel(0.0))
+                interpreter, machineModel, SimplePowerDriver(ConstantPowerModel(0.0))
             )
             val hypervisor = SimFairShareHypervisor(interpreter)
 
@@ -139,8 +135,7 @@ class SimMachineBenchmarks {
     fun benchmarkFairShareHypervisorDouble(state: Workload) {
         return scope.runBlockingSimulation {
             val machine = SimBareMetalMachine(
-                interpreter, machineModel, PerformanceScalingGovernor(),
-                SimpleScalingDriver(ConstantPowerModel(0.0))
+                interpreter, machineModel, SimplePowerDriver(ConstantPowerModel(0.0))
             )
             val hypervisor = SimFairShareHypervisor(interpreter)