Modelling and performance analysis of traffic in ATM networks including autocorrelation

Authors:
Gerhard Haßlinger;Michael Adam
Affiliations:
Technische Hochschule Darmstadt, Darmstadt, Germany;Technische Hochschule Darmstadt, Darmstadt, Germany
Venue:
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Year:
1996

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Abstract

Non-renewal traffic appears an various shape as the input to nodes an ATM networks. Adequate models of trafic types are required to analyze the performance of ATM switches. Among them are approaches assuming self-similarity, TES processes or semi-Markovian processes (SMP). We study approximative representations of trafic by semi-Markovian processes, which include autocorrelated arrival intervals depending on the states of an underlying Markov chain. Properties of the SMP autocorrelation function are derived, which are helpfil to construct SMP adaptations. ATM swatches with SMP input are analyzed wing eficient algorithms for the discrete time SMP/G/1 queue. The method is applied to evaluate the performance of an ATM multiplexer with trafic superposed from a number of ON-OFF sources.