Add uniform resource consumption model (v1)

This is the first in the series of pull requests to add a uniform resource consumption model to OpenDC. This pull request introduces the `opendc-simulator-resources` module which introduces the primitives with which we can model resource consumption of CPUs, disks and network:

* `SimResourceProvider` represents a provider of some generic resource `R`, which may be consumed via `consume(SimResourceConsumer<R>)`
* `SimResourceConsumer` represents a resource consumers and characterizes how the resource is being consumed.
* `SimResourceSwitch` is a generic scheduler for sharing the capacity of multiple resources across multiple consumers.
   - `SimResourceSwitchExclusive`: A space-shared switch - each consumer is allocated a single resource exclusively.
   - `SimResourceSwitchMinMax`: A time-shared switch - each consumer gets a fair share of the resource capacity. 
* `SimResourceForwarder` converts a consumer in a provider.

**Breaking Changes**
* `ProcessingUnit` and `MemoryUnit` renamed to `SimProcessingUnit` and `SimMemoryUnit` respectively.
* `TimerScheduler` accepts a `CoroutineContext` as opposed to a `CoroutineScope`. 

1 files changed, 4 insertions, 3 deletions

diff --git a/simulator/opendc-compute/opendc-compute-simulator/src/main/kotlin/org/opendc/compute/simulator/SimHost.kt b/simulator/opendc-compute/opendc-compute-simulator/src/main/kotlin/org/opendc/compute/simulator/SimHost.kt
index 19fa3e97..9cc1bf54 100644
--- a/simulator/opendc-compute/opendc-compute-simulator/src/main/kotlin/org/opendc/compute/simulator/SimHost.kt
+++ b/simulator/opendc-compute/opendc-compute-simulator/src/main/kotlin/org/opendc/compute/simulator/SimHost.kt
@@ -35,7 +35,7 @@ import org.opendc.compute.simulator.power.models.ConstantPowerModel
 import org.opendc.simulator.compute.*
 import org.opendc.simulator.compute.interference.IMAGE_PERF_INTERFERENCE_MODEL
 import org.opendc.simulator.compute.interference.PerformanceInterferenceModel
-import org.opendc.simulator.compute.model.MemoryUnit
+import org.opendc.simulator.compute.model.SimMemoryUnit
 import org.opendc.simulator.failures.FailureDomain
 import org.opendc.utils.flow.EventFlow
 import java.time.Clock
@@ -84,7 +84,7 @@ public class SimHost(
     /**
      * The machine to run on.
      */
-    public val machine: SimBareMetalMachine = SimBareMetalMachine(scope, clock, model)
+    public val machine: SimBareMetalMachine = SimBareMetalMachine(context, clock, model)
 
     /**
      * The hypervisor to run multiple workloads.
@@ -206,6 +206,7 @@ public class SimHost(
 
     override fun close() {
         scope.cancel()
+        machine.close()
         _state = HostState.DOWN
     }
 
@@ -216,7 +217,7 @@ public class SimHost(
         val originalCpu = machine.model.cpus[0]
         val processingNode = originalCpu.node.copy(coreCount = cpuCount)
         val processingUnits = (0 until cpuCount).map { originalCpu.copy(id = it, node = processingNode) }
-        val memoryUnits = listOf(MemoryUnit("Generic", "Generic", 3200.0, memorySize))
+        val memoryUnits = listOf(SimMemoryUnit("Generic", "Generic", 3200.0, memorySize))
 
         return SimMachineModel(processingUnits, memoryUnits)
     }