/* * Copyright (c) 2024 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.compute.failure.models import kotlinx.coroutines.delay import org.apache.commons.math3.distribution.RealDistribution import org.opendc.compute.simulator.service.ComputeService import java.time.InstantSource import java.util.random.RandomGenerator import kotlin.coroutines.CoroutineContext import kotlin.math.max import kotlin.math.min import kotlin.math.roundToLong /** * Sample based failure model * * @property context * @property clock * @property service * @property random * @property iatSampler A distribution from which the time until the next fault is sampled in ms * @property durationSampler A distribution from which the duration of a fault is sampled in s * @property nohSampler A distribution from which the number of hosts that fault is sampled. */ public class SampleBasedFailureModel( context: CoroutineContext, clock: InstantSource, service: ComputeService, random: RandomGenerator, private val iatSampler: RealDistribution, private val durationSampler: RealDistribution, private val nohSampler: RealDistribution, ) : FailureModel(context, clock, service, random) { override suspend fun runInjector() { while (true) { val iatSample = max(0.0, iatSampler.sample()) val intervalDuration = (iatSample * 3.6e6).roundToLong() // Handle long overflow if (clock.millis() + intervalDuration <= 0) { return } delay(intervalDuration) val numberOfHosts = min(1.0, max(0.0, nohSampler.sample())) val victims = victimSelector.select(hosts, numberOfHosts) val durationSample = max(0.0, durationSampler.sample()) val faultDuration = (durationSample * 3.6e6).toLong() fault.apply(victims, faultDuration) break } } }