ikr.simlib.distributions.continuous.statedep

Class MMDPDistribution

java.lang.Object

ikr.simlib.distributions.Distribution

ikr.simlib.distributions.continuous.ContinuousDistribution

ikr.simlib.distributions.continuous.statedep.GMDPDistribution

ikr.simlib.distributions.continuous.statedep.MMDPDistribution

All Implemented Interfaces:

ReflectionConstructable, ReflectionConstructable3<SimNode,Parameters,RandomNumberGenerator>

public class MMDPDistribution
extends GMDPDistribution

MMDP (Markov Modulated Deterministic Process)

Meaning:	Most frequent special case of the GMDP ( GMDPDistribution) for modeling sources with multiple states (generally 2 - 5) in ATM networks
Description:	Like the GMDP( GMDPDistribution), the MMDP can be described by a state machine with \(m\) states. Number of arrivals \(X_i\) in the state \(i\) is distributed according to a shifted geometric distribution.
Characteristic values:	Moments and distribution of the arrival intervals
Parameters:	number of states \(m\) transition probabilities \(p_{ii}\) average number of arrivals \(a_i\) in the individual states arrival intervals \(d_i\) in the individual states
Parser example:	[...].Dist = MMDPDistribution [...].Dist.States = 3 [...].Dist.PMAP = [[0 0.5 0.5] [0.5 0 0.5] [0.5 0.5 0] ] [...].Dist.MeanPhaseLengths = [145.5 11.11 55.55] # negative value denotes silence state [...].Dist.InterCellTimes = [-1 1274 255]
References:	T. THEIMER: How to compute the moments of a GMDP, RACE 1022, Document UST_123_0023_CD_CC, 1989.

Nested Class Summary

Nested classes/interfaces inherited from class ikr.simlib.distributions.continuous.statedep.GMDPDistribution

GMDPDistribution.GMDPStateParameters

Field Summary

Fields inherited from class ikr.simlib.distributions.continuous.statedep.GMDPDistribution

noOfStates, stateParameters

Fields inherited from class ikr.simlib.distributions.Distribution

rng

Fields inherited from interface ikr.simlib.parameters.reflection.ReflectionConstructable

CREATE_INSTANCE_METHOD_NAME

Constructor Summary

Constructors

Constructor and Description
MMDPDistribution(int noOfStates, double[] interCellTimes, double[] meanPhaseLengths, double[][] transitionProbs)
MMDPDistribution(int noOfStates, double[] interCellTimes, double[] meanPhaseLengths, double[][] transitionProbs, RandomNumberGenerator rng)

Method Summary

Methods

Modifier and Type	Method and Description
static MMDPDistribution	createInstance(SimNode ownNode, Parameters pars, RandomNumberGenerator rng) as required by ReflectionConstructable

Methods inherited from class ikr.simlib.distributions.continuous.statedep.GMDPDistribution

getCellCounter, getCurrentInterCellTime, getCurrentState, next, reset

Methods inherited from class ikr.simlib.distributions.Distribution

getDefaultRNG, getRandomNumberGenerator

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MMDPDistribution

public MMDPDistribution(int noOfStates,
                double[] interCellTimes,
                double[] meanPhaseLengths,
                double[][] transitionProbs,
                RandomNumberGenerator rng)

MMDPDistribution

public MMDPDistribution(int noOfStates,
                double[] interCellTimes,
                double[] meanPhaseLengths,
                double[][] transitionProbs)

Method Detail

createInstance

public static MMDPDistribution createInstance(SimNode ownNode,
                              Parameters pars,
                              RandomNumberGenerator rng)

as required by ReflectionConstructable