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/*
* 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
}
}
}
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