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, 93 insertions, 0 deletions

diff --git a/opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/capelin/CapelinBenchmarks.kt b/opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/capelin/CapelinBenchmarks.kt
new file mode 100644
index 00000000..c3408226
--- /dev/null
+++ b/opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/capelin/CapelinBenchmarks.kt
@@ -0,0 +1,93 @@
+/*
+ * 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.
+ */
+
+package org.opendc.experiments.capelin
+
+import org.opendc.compute.service.ComputeService
+import org.opendc.compute.service.scheduler.FilterScheduler
+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.experiments.capelin.topology.clusterTopology
+import org.opendc.experiments.compute.ComputeWorkloadLoader
+import org.opendc.experiments.compute.VirtualMachine
+import org.opendc.experiments.compute.replay
+import org.opendc.experiments.compute.setupComputeService
+import org.opendc.experiments.compute.setupHosts
+import org.opendc.experiments.compute.topology.HostSpec
+import org.opendc.experiments.compute.trace
+import org.opendc.common.experiments.provisioner.Provisioner
+import org.opendc.simulator.kotlin.runSimulation
+import org.openjdk.jmh.annotations.Benchmark
+import org.openjdk.jmh.annotations.Fork
+import org.openjdk.jmh.annotations.Measurement
+import org.openjdk.jmh.annotations.Param
+import org.openjdk.jmh.annotations.Scope
+import org.openjdk.jmh.annotations.Setup
+import org.openjdk.jmh.annotations.State
+import org.openjdk.jmh.annotations.Warmup
+import java.io.File
+import java.util.Random
+import java.util.concurrent.TimeUnit
+
+/**
+ * Benchmark suite for the Capelin experiments.
+ */
+@State(Scope.Thread)
+@Fork(1)
+@Warmup(iterations = 2, time = 5, timeUnit = TimeUnit.SECONDS)
+@Measurement(iterations = 5, time = 5, timeUnit = TimeUnit.SECONDS)
+class CapelinBenchmarks {
+    private lateinit var vms: List<VirtualMachine>
+    private lateinit var topology: List<HostSpec>
+
+    @Param("true", "false")
+    private var isOptimized: Boolean = false
+
+    @Setup
+    fun setUp() {
+        val loader = ComputeWorkloadLoader(File("src/test/resources/trace"))
+        vms = trace("bitbrains-small").resolve(loader, Random(1L))
+        topology = checkNotNull(object {}.javaClass.getResourceAsStream("/topology.txt")).use { clusterTopology(it) }
+    }
+
+    @Benchmark
+    fun benchmarkCapelin() = runSimulation {
+        val serviceDomain = "compute.opendc.org"
+
+        Provisioner(dispatcher, seed = 0).use { provisioner ->
+            val computeScheduler = FilterScheduler(
+                filters = listOf(ComputeFilter(), VCpuFilter(16.0), RamFilter(1.0)),
+                weighers = listOf(CoreRamWeigher(multiplier = 1.0))
+            )
+
+            provisioner.runSteps(
+                setupComputeService(serviceDomain, { computeScheduler }),
+                setupHosts(serviceDomain, topology, optimize = isOptimized)
+            )
+
+            val service = provisioner.registry.resolve(serviceDomain, ComputeService::class.java)!!
+            service.replay(timeSource, vms, 0L, interference = true)
+        }
+    }
+}