ikr.simlib.distributions.continuous.statedep

Class GMPPDistribution

java.lang.Object

ikr.simlib.distributions.Distribution

ikr.simlib.distributions.continuous.ContinuousDistribution

ikr.simlib.distributions.continuous.statedep.GMPPDistribution

All Implemented Interfaces:

ReflectionConstructable, ReflectionConstructable3<SimNode,Parameters,RandomNumberGenerator>

public class GMPPDistribution
extends ContinuousDistribution

GMPP (Generally Modulated Poisson Process)

Meaning:	Modeling of sources with multiple states (usually 2 - 5) in ATM networks
Description:	State machine with $m$ states. Markovian process with the rate $\lambda_i$ in the state $i$ number of arrivals $X_i$ in state $i$ is arbitrarily (discretely) distributed (often shifted geometrically -> MMPP); in the silence state $X_i$ means the number of time slots of the silence phase. according to definition: $p_{ii} = 0$ and $\sum\limits_{i=1}^m p_{ij} = 1$.
Parameters:	number of states $m$ transition probabilities $p_{ij}$ distribution of the number of arrivals $X_i$ in the individual states arrival rates $\lambda_i$ in the states
Characteristic values:	Moments and distribution of the arrival intervals
Parser example:	[...].distribution = GMPP [...].distribution.States = 2 [...].distribution.MeanIATs = [1 5] [...].distribution.StateDuration_0 = Constant [...].distribution.StateDuration_0.Mean = 10000 [...].distribution.StateDuration_1 = Constant [...].distribution.StateDuration_1.Mean = 10000 [...].distribution.TransitionProbs = [[0 1] [1 0]]
References:	P. J. KÜHN: Reminder on queueing theory for ATM networks. Telecommunication Systems, No. 5, 1996, pp. 1-24. G. D. STAMOULIS, M. E. ANAGNOSTOU, A. D. GEORGANTAS: Traffic source models for ATM networks: a survey. Computer Communications, Vol. 17, No. 6, Juni, 1994. T. THEIMER: How to compute the moments of a GMDP, RACE 1022, Document UST_123_0023_CD_CC, 1989.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GMPPDistribution.StateParameters

Field Summary

Fields

Modifier and Type	Field and Description
int	noOfStates
GMPPDistribution.StateParameters[]	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
GMPPDistribution(int noOfStates, double[] meanIATs, ContinuousDistribution[] stateDurations, double[][] transitionProbs)
GMPPDistribution(int noOfStates, double[] meanIATs, ContinuousDistribution[] stateDurations, double[][] transitionProbs, RandomNumberGenerator rng)

Method Summary

Methods

Modifier and Type	Method and Description
static GMPPDistribution	createInstance(SimNode ownNode, Parameters pars, RandomNumberGenerator rng) as required by ReflectionConstructable
int	getCurrentState()
double	getResidualPhaseTime()
double	next() Create random numbers

Methods inherited from class ikr.simlib.distributions.Distribution

getDefaultRNG, getRandomNumberGenerator, reset

Methods inherited from class java.lang.Object

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

Field Detail

noOfStates

public final int noOfStates

stateParameters

public final GMPPDistribution.StateParameters[] stateParameters

Constructor Detail

GMPPDistribution

public GMPPDistribution(int noOfStates,
                double[] meanIATs,
                ContinuousDistribution[] stateDurations,
                double[][] transitionProbs,
                RandomNumberGenerator rng)

GMPPDistribution

public GMPPDistribution(int noOfStates,
                double[] meanIATs,
                ContinuousDistribution[] stateDurations,
                double[][] transitionProbs)

Method Detail

createInstance

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

as required by ReflectionConstructable

next

public double next()

Description copied from class: ContinuousDistribution

Create random numbers

Specified by:

next in class ContinuousDistribution

getResidualPhaseTime

public double getResidualPhaseTime()

getCurrentState

public int getCurrentState()