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| author | Dante Niewenhuis <d.niewenhuis@hotmail.com> | 2026-05-21 16:52:31 +1000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2026-05-21 16:52:31 +1000 |
| commit | 5b4b6bde235e47fcc7074578673dfea1077771a7 (patch) | |
| tree | 5a4dfbae02455cda92e90b21dfbbd413c3e27eae /opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/TaskScalingBenchmark.kt | |
| parent | ac6a11f2eb9e415b9f8782424d975adbd0d2ddd9 (diff) | |
Added Benchmarking tools (#413)
Added files for the smaller workload benchmarks
Added benchmark examples
Started implementing benchmarking functions
Diffstat (limited to 'opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/TaskScalingBenchmark.kt')
| -rw-r--r-- | opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/TaskScalingBenchmark.kt | 98 |
1 files changed, 98 insertions, 0 deletions
diff --git a/opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/TaskScalingBenchmark.kt b/opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/TaskScalingBenchmark.kt new file mode 100644 index 00000000..4cacd09c --- /dev/null +++ b/opendc-experiments/opendc-experiments-base/src/jmh/kotlin/org/opendc/experiments/TaskScalingBenchmark.kt @@ -0,0 +1,98 @@ +/* + * Copyright (c) 2026 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 + +import org.opendc.experiments.base.runner.ExperimentCommand +import org.openjdk.jmh.annotations.Benchmark +import org.openjdk.jmh.annotations.BenchmarkMode +import org.openjdk.jmh.annotations.Fork +import org.openjdk.jmh.annotations.Measurement +import org.openjdk.jmh.annotations.Mode +import org.openjdk.jmh.annotations.OutputTimeUnit +import org.openjdk.jmh.annotations.Scope +import org.openjdk.jmh.annotations.State +import org.openjdk.jmh.annotations.Warmup +import java.io.File +import java.util.concurrent.TimeUnit + +/** + * JMH benchmark that measures simulation performance as the number of scheduled + * tasks scales from 100 to 5 000 000. All tasks have a single fragment. + * + * Each benchmark method runs a full simulation with an increasing task count while + * keeping all other variables fixed: + * - **Topology**: 100-host cluster (`topologies/taskScaling/topology_100.json`) + * - **Allocation policy**: memory-based (`Mem`) + * - **Export interval**: set to 999999 to make the simulator export only at the end of the simulation, + * + * JFR profiling and heap statistics collection are provided by [OpenDCBenchmark]. + */ +@State(Scope.Thread) +@Fork(1) +@Warmup(iterations = 1, batchSize = 1) +@Measurement(iterations = 5, batchSize = 1) +@BenchmarkMode(Mode.SingleShotTime) +@OutputTimeUnit(TimeUnit.MILLISECONDS) +open class TaskScalingBenchmark : OpenDCBenchmark() { + /** Runs the simulation with a workload of 100 tasks. */ + @Benchmark + fun taskScalingBenchmark100() { + ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/taskScaling/experiment_100.json")) + File("output").deleteRecursively() + } + + /** Runs the simulation with a workload of 1 000 tasks. */ + @Benchmark + fun taskScalingBenchmark1K() { + ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/taskScaling/experiment_1K.json")) + File("output").deleteRecursively() + } + + /** Runs the simulation with a workload of 10 000 tasks. */ + @Benchmark + fun taskScalingBenchmark10K() { + ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/taskScaling/experiment_10K.json")) + File("output").deleteRecursively() + } + + /** Runs the simulation with a workload of 100 000 tasks. */ + @Benchmark + fun taskScalingBenchmark100K() { + ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/taskScaling/experiment_100K.json")) + File("output").deleteRecursively() + } + + /** Runs the simulation with a workload of 1 000 000 tasks. */ + @Benchmark + fun taskScalingBenchmark1M() { + ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/taskScaling/experiment_1M.json")) + File("output").deleteRecursively() + } + + /** Runs the simulation with a workload of 2 500 000 tasks. */ + @Benchmark + fun taskScalingBenchmark2M500K() { + ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/taskScaling/experiment_2_5M.json")) + File("output").deleteRecursively() + } +} |
