Package org.cloudbus.cloudsim.distributions

package org.cloudbus.cloudsim.distributions

Provides Pseudo-Random Number Generators (PRNG) following several statistical distributions used by the simulation API. Additionally, they can be used by developers implementing their own simulations.

The most basic PRNG is the UniformDistr that generates uniformly distributed pseudo random numbers.

Class	Description
ContinuousDistribution	Interface to be implemented by a Pseudo-Random Number Generator (PRNG) that follows a defined statistical continuous distribution.
DiscreteDistribution	Interface to be implemented by a Pseudo-Random Number Generator (PRNG) that follows a defined statistical discrete distribution.
ExponentialDistr	A Pseudo-Random Number Generator following the Exponential distribution.
GammaDistr	A Pseudo-Random Number Generator following the Gamma distribution.
JDKThreadLocalRandomGenerator	A RandomGenerator that internally uses the ThreadLocalRandom, a very fast Pseudo-Random Number Generator (PRNG) with higher performance than Random, mainly in concurrent environments.
LogNormalDistr	A Pseudo-Random Number Generator following the Log-normal distribution.
LomaxDistr	A Pseudo-Random Number Generator following the Lomax distribution.
NormalDistr	A Pseudo-Random Number Generator following the Normal (Gaussian) distribution.
ParetoDistr	A Pseudo-Random Number Generator following the Pareto distribution.
PoissonDistr	A Pseudo-Random Number Generator which returns numbers following a Poisson Distribution, modeling the probability of an event to happen a number of times in a given time interval.
StatisticalDistribution	Interface to be implemented by a Pseudo-Random Number Generator (PRNG) that follows some statistical distribution, even discrete or continuous.
UniformDistr	A Pseudo-Random Number Generator (RNG) following the Uniform continuous distribution.
WeibullDistr	A Pseudo-Random Number Generator following the Weibull distribution.
ZipfDistr	A Pseudo-Random Number Generator following the Zipf distribution.