Uses of Interface
org.cloudsimplus.distributions.StatisticalDistribution
Packages that use StatisticalDistribution
Package
Description
Provides Pseudo-Random Number Generators (PRNG)
following several statistical distributions used by the simulation API.
Provides classes to inject random faults during simulation runtime.
Provides base classes to enable implementing testbeds in a repeatable manner,
allowing a researcher to execute several simulation runs
for a given experiment and collect statistical data using a scientific approach.
-
Uses of StatisticalDistribution in org.cloudsimplus.distributions
Subinterfaces of StatisticalDistribution in org.cloudsimplus.distributionsModifier and TypeInterfaceDescriptioninterfaceInterface to be implemented by a Pseudo-Random Number Generator (PRNG) that follows a defined statistical continuous distribution.interfaceInterface to be implemented by a Pseudo-Random Number Generator (PRNG) that follows a defined statistical discrete distribution.Classes in org.cloudsimplus.distributions that implement StatisticalDistributionModifier and TypeClassDescriptionclassA Pseudo-Random Number Generator following the Exponential distribution.classA Pseudo-Random Number Generator following the Gamma distribution.classA Pseudo-Random Number Generator following the Log-normal distribution.classA Pseudo-Random Number Generator following the Lomax distribution.classA Pseudo-Random Number Generator following the Normal (Gaussian) distribution.classA Pseudo-Random Number Generator following the Pareto distribution.classA 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.classA Pseudo-Random Number Generator (RNG) following the Uniform continuous distribution.classA Pseudo-Random Number Generator following the Weibull distribution.classA Pseudo-Random Number Generator following the Zipf distribution.Methods in org.cloudsimplus.distributions that return StatisticalDistributionModifier and TypeMethodDescriptionStatisticalDistribution.setApplyAntitheticVariates(boolean applyAntitheticVariates) Indicates if the Pseudo-Random Number Generator (RNG) applies the Antithetic Variates Technique to reduce variance of experiments using the generated numbers. -
Uses of StatisticalDistribution in org.cloudsimplus.faultinjection
Constructors in org.cloudsimplus.faultinjection with parameters of type StatisticalDistributionModifierConstructorDescriptionHostFaultInjection(Datacenter datacenter, StatisticalDistribution faultArrivalHoursGenerator) Creates a fault injection mechanism for theHosts of a givenDatacenter. -
Uses of StatisticalDistribution in org.cloudsimplus.testbeds
Methods in org.cloudsimplus.testbeds with type parameters of type StatisticalDistributionModifier and TypeMethodDescription<S extends StatisticalDistribution>
SExperimentRunner.createRandomGen(int experimentIndex, @NonNull Function<Long, S> randomGenCreator) Uses the providedFunctionto create a pseudo random number generator (PRNG) for an experiment run.