refactored opendc-experiment-compute (#190)

* removed experiment-compute and integrated all components into opendc-compute

* updated workflow gradle file

* removed unneeded code

1 files changed, 85 insertions, 0 deletions

diff --git a/opendc-compute/opendc-compute-service/src/main/kotlin/org/opendc/compute/service/scheduler/ComputeSchedulers.kt b/opendc-compute/opendc-compute-service/src/main/kotlin/org/opendc/compute/service/scheduler/ComputeSchedulers.kt
new file mode 100644
index 00000000..2f071c13
--- /dev/null
+++ b/opendc-compute/opendc-compute-service/src/main/kotlin/org/opendc/compute/service/scheduler/ComputeSchedulers.kt
@@ -0,0 +1,85 @@
+/*
+ * Copyright (c) 2021 AtLarge Research
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+
+@file:JvmName("ComputeSchedulers")
+
+package org.opendc.compute.service.scheduler
+
+import org.opendc.compute.service.scheduler.filters.ComputeFilter
+import org.opendc.compute.service.scheduler.filters.RamFilter
+import org.opendc.compute.service.scheduler.filters.VCpuFilter
+import org.opendc.compute.service.scheduler.weights.CoreRamWeigher
+import org.opendc.compute.service.scheduler.weights.InstanceCountWeigher
+import org.opendc.compute.service.scheduler.weights.RamWeigher
+import org.opendc.compute.service.scheduler.weights.VCpuWeigher
+import java.util.SplittableRandom
+import java.util.random.RandomGenerator
+
+/**
+ * Create a [ComputeScheduler] for the experiment.
+ */
+public fun createComputeScheduler(name: String, seeder: RandomGenerator, placements: Map<String, String> = emptyMap()): ComputeScheduler {
+    val cpuAllocationRatio = 16.0
+    val ramAllocationRatio = 1.5
+    return when (name) {
+        "mem" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(RamWeigher(multiplier = 1.0))
+        )
+        "mem-inv" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(RamWeigher(multiplier = -1.0))
+        )
+        "core-mem" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(CoreRamWeigher(multiplier = 1.0))
+        )
+        "core-mem-inv" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(CoreRamWeigher(multiplier = -1.0))
+        )
+        "active-servers" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(InstanceCountWeigher(multiplier = -1.0))
+        )
+        "active-servers-inv" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(InstanceCountWeigher(multiplier = 1.0))
+        )
+        "provisioned-cores" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(VCpuWeigher(cpuAllocationRatio, multiplier = 1.0))
+        )
+        "provisioned-cores-inv" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = listOf(VCpuWeigher(cpuAllocationRatio, multiplier = -1.0))
+        )
+        "random" -> FilterScheduler(
+            filters = listOf(ComputeFilter(), VCpuFilter(cpuAllocationRatio), RamFilter(ramAllocationRatio)),
+            weighers = emptyList(),
+            subsetSize = Int.MAX_VALUE,
+            random = SplittableRandom(seeder.nextLong())
+        )
+        "replay" -> ReplayScheduler(placements)
+        else -> throw IllegalArgumentException("Unknown policy $name")
+    }
+}