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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

/**
 * benchmark that measures simulation performance for workloads with
 * increasing number of fragments from 1 to 10k.
 *
 * Each benchmark runs a full workload and measures runtime and [HeapStats]
 * (average and peak heap).
 *
 * Every benchmark simulates a workload consisting of 1000 tasks.
 * However, the number of fragments increases from 1 to 10k.
 *
 * The following variables are all 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,
 * to minimize the impact of telemetry export on the results.
 *
 * 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 FragmentScalingBenchmark : OpenDCBenchmark() {
    /** Runs the simulation with a workload containing 1 fragment. */
    @Benchmark
    fun fragmentScalingBenchmark1() {
        ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/fragmentScaling/experiment_1.json"))
        File("output").deleteRecursively()
    }

    /** Runs the simulation with a workload containing 10 fragments. */
    @Benchmark
    fun fragmentScalingBenchmark10() {
        ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/fragmentScaling/experiment_10.json"))
        File("output").deleteRecursively()
    }

    /** Runs the simulation with a workload containing 100 fragments. */
    @Benchmark
    fun fragmentScalingBenchmark100() {
        ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/fragmentScaling/experiment_100.json"))
        File("output").deleteRecursively()
    }

    /** Runs the simulation with a workload containing 1 000 fragments. */
    @Benchmark
    fun fragmentScalingBenchmark1K() {
        ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/fragmentScaling/experiment_1K.json"))
        File("output").deleteRecursively()
    }

    /** Runs the simulation with a workload containing 10 000 fragments. */
    @Benchmark
    fun fragmentScalingBenchmark10K() {
        ExperimentCommand().main(arrayOf("--experiment-path", "src/jmh/resources/experiments/fragmentScaling/experiment_10K.json"))
        File("output").deleteRecursively()
    }
}