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CloudSim Plus: A modern, highly extensible and easier-to-use Java 8+ Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
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/*
* Title: CloudSim Toolkit
* Description: CloudSim (Cloud Simulation) Toolkit for Modeling and Simulation of Clouds
* Licence: GPL - http://www.gnu.org/copyleft/gpl.html
*
* Copyright (c) 2009-2012, The University of Melbourne, Australia
*/
package org.cloudsimplus.distributions;
import org.apache.commons.math3.distribution.ExponentialDistribution;
import org.apache.commons.math3.random.RandomGenerator;
import org.cloudsimplus.util.MathUtil;
import java.io.Serial;
/**
* A Pseudo-Random Number Generator following the
* Exponential
* distribution.
*
* @author Marcos Dias de Assuncao
* @author Manoel Campos da Silva Filho
* @since CloudSim Toolkit 1.0
*/
public class ExponentialDistr extends ExponentialDistribution implements ContinuousDistribution {
@Serial
private static final long serialVersionUID = -7320841686232556798L;
/** @see #isApplyAntitheticVariates() */
private boolean applyAntitheticVariates;
private long seed;
/**
* Creates a exponential Pseudo-Random Number Generator (PRNG).
*
* @param mean the mean for the distribution.
* @see #ExponentialDistr(double, long, RandomGenerator)
*/
public ExponentialDistr(final double mean) {
this(mean, StatisticalDistribution.defaultSeed());
}
/**
* Creates a exponential Pseudo-Random Number Generator (PRNG).
*
* @param mean the mean for the distribution.
*
* @param seed the seed to be used.
* @see #ExponentialDistr(double, long, RandomGenerator)
*/
public ExponentialDistr(final double mean, final long seed) {
this(mean, seed, StatisticalDistribution.newDefaultGen(seed));
}
/**
* Creates a exponential Pseudo-Random Number Generator (RNG).
* @param mean the mean for the distribution.
* @param seed the seed already used to initialize the Pseudo-Random Number Generator
* @param rng the actual Pseudo-Random Number Generator that will be the base
* to generate random numbers following a continuous distribution.
*/
public ExponentialDistr(final double mean, final long seed, final RandomGenerator rng) {
super(rng, mean);
this.seed = MathUtil.nonNegative(seed, "Seed");
}
@Override
public long getSeed() {
return this.seed;
}
@Override
public void reseedRandomGenerator(final long seed) {
super.reseedRandomGenerator(seed);
this.seed = seed;
}
@Override
public boolean isApplyAntitheticVariates() {
return applyAntitheticVariates;
}
@Override
public ExponentialDistr setApplyAntitheticVariates(final boolean applyAntitheticVariates) {
this.applyAntitheticVariates = applyAntitheticVariates;
return this;
}
@Override
public double originalSample() {
return super.sample();
}
}
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