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Multi-Dimensional Markov Model for Performance Evaluation of an Ethernet Switch

Identifieur interne : 003382 ( Hal/Corpus ); précédent : 003381; suivant : 003383

Multi-Dimensional Markov Model for Performance Evaluation of an Ethernet Switch

Auteurs : Anatoli Manita ; François Simonot ; Ye-Qiong Song

Source :

RBID : Hal:inria-00071773

English descriptors

Abstract

With continuously increasing use of switched Ethernet for supporting various applications, it is important to precisely characterize the performance of Ethernet switches to provide the required QoS (Quality of Service). In this paper we propose an exact mathematical model of an Ethernet switch based on a multi-dimensional Markov process. We discuss both continuous and discrete time variants of the proposed model. We put forward the problem of asymptotic analysis of steady-state distribution of the workload to evaluate the performance of the system. This approach is deeply related with the recent results on large deviations in Markovian systems. We provide a comprehensive study of a particular model called symmetrical geometric. For the special case of Binomial input flow, the asymptotic approach is compared with the exact recurrent formulae highlighting the numerical efficiency of the asymptotic approach.

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Hal:inria-00071773

Le document en format XML

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<analytic>
<title xml:lang="en">Multi-Dimensional Markov Model for Performance Evaluation of an Ethernet Switch</title>
<author role="aut">
<persName>
<forename type="first">Anatoli</forename>
<surname>Manita</surname>
</persName>
<idno type="halAuthorId">99626</idno>
</author>
<author role="aut">
<persName>
<forename type="first">François</forename>
<surname>Simonot</surname>
</persName>
<idno type="halAuthorId">99627</idno>
<affiliation ref="#struct-23"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Ye-Qiong</forename>
<surname>Song</surname>
</persName>
<idno type="halAuthorId">66298</idno>
<affiliation ref="#struct-2406"></affiliation>
</author>
</analytic>
<monogr>
<idno type="reportNumber">RR-4813</idno>
<imprint>
<date type="datePub">2003</date>
</imprint>
<authority type="institution">INRIA</authority>
</monogr>
</biblStruct>
</sourceDesc>
<profileDesc>
<langUsage>
<language ident="en">English</language>
</langUsage>
<textClass>
<keywords scheme="author">
<term xml:lang="en">PERFORMANCE EVALUATION</term>
<term xml:lang="en">ASYMPTOTIC APPROACH</term>
<term xml:lang="en">LARGE DEVIATION</term>
<term xml:lang="en">ETHERNET SWITCH</term>
<term xml:lang="en">MULTI-DIMENSIONAL MARKOV PROCESS</term>
</keywords>
<classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode>
<classCode scheme="halTypology" n="REPORT">Reports</classCode>
</textClass>
<abstract xml:lang="en">With continuously increasing use of switched Ethernet for supporting various applications, it is important to precisely characterize the performance of Ethernet switches to provide the required QoS (Quality of Service). In this paper we propose an exact mathematical model of an Ethernet switch based on a multi-dimensional Markov process. We discuss both continuous and discrete time variants of the proposed model. We put forward the problem of asymptotic analysis of steady-state distribution of the workload to evaluate the performance of the system. This approach is deeply related with the recent results on large deviations in Markovian systems. We provide a comprehensive study of a particular model called symmetrical geometric. For the special case of Binomial input flow, the asymptotic approach is compared with the exact recurrent formulae highlighting the numerical efficiency of the asymptotic approach.</abstract>
</profileDesc>
</hal>
</record>

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