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/*
* 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()
}
}
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