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| author | Fabian Mastenbroek <mail.fabianm@gmail.com> | 2021-03-17 16:51:38 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-03-17 16:51:38 +0100 |
| commit | 054a3d376b8b31ba98f91e7b34c6e0ca717def18 (patch) | |
| tree | ee739cf4092a2b807e0043bed7cae72cff7b6bac /simulator/opendc-runner-web/src | |
| parent | df2f52780c08c5d108741d3746eaf03222c64841 (diff) | |
| parent | bb3b8e207a08edff81b8c2fe30b476c94bfea086 (diff) | |
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`.
Diffstat (limited to 'simulator/opendc-runner-web/src')
| -rw-r--r-- | simulator/opendc-runner-web/src/main/kotlin/org/opendc/runner/web/TopologyParser.kt | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/simulator/opendc-runner-web/src/main/kotlin/org/opendc/runner/web/TopologyParser.kt b/simulator/opendc-runner-web/src/main/kotlin/org/opendc/runner/web/TopologyParser.kt index e7e99a3d..0ff40a28 100644 --- a/simulator/opendc-runner-web/src/main/kotlin/org/opendc/runner/web/TopologyParser.kt +++ b/simulator/opendc-runner-web/src/main/kotlin/org/opendc/runner/web/TopologyParser.kt @@ -34,9 +34,9 @@ import org.opendc.compute.simulator.power.models.LinearPowerModel import org.opendc.format.environment.EnvironmentReader import org.opendc.format.environment.MachineDef import org.opendc.simulator.compute.SimMachineModel -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.model.SimMemoryUnit +import org.opendc.simulator.compute.model.SimProcessingNode +import org.opendc.simulator.compute.model.SimProcessingUnit import java.util.* /** @@ -56,13 +56,13 @@ public class TopologyParser(private val collection: MongoCollection<Document>, p val cores = cpu.getInteger("numberOfCores") val speed = cpu.get("clockRateMhz", Number::class.java).toDouble() // TODO Remove hardcoding of vendor - val node = ProcessingNode("Intel", "amd64", cpu.getString("name"), cores) + val node = SimProcessingNode("Intel", "amd64", cpu.getString("name"), cores) List(cores) { coreId -> - ProcessingUnit(node, coreId, speed) + SimProcessingUnit(node, coreId, speed) } } val memoryUnits = machine.getList("memories", Document::class.java).map { memory -> - MemoryUnit( + SimMemoryUnit( "Samsung", memory.getString("name"), memory.get("speedMbPerS", Number::class.java).toDouble(), |