The Pseudo-Self-Similar Traffic Model: Application and Validation

Rachid El Abdouni Khayari, Boudewijn R.H.M. Haverkort, R. Sadre, Alexander Ost

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    15 Citations (Scopus)
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    Since the early 1990s, a variety of studies have shown that network traffic, both for local- and wide-area networks, has self-similar properties. This led to new approaches in network traffic modelling because most traditional traffic approaches result in the underestimation of performance measures of interest. Instead of developing completely new traffic models, a number of researchers have proposed to adapt traditional traffic modelling approaches to incorporate aspects of self-similarity. The motivation for doing so is the hope to be able to reuse techniques and tools that have been developed in the past and with which experience has been gained. One such approach is the so-called pseudo-self-similar traffic (PSST) model. This model is appealing, as it is easy to understand and easily embedded in Markovian performance evaluation studies. In applying this model in a number of cases, we have perceived various problems which we initially thought were particular to these specific cases. However, we recently have been able to show that these problems are fundamental to the PSST model. In this paper we review the PSST model, validate it experimentally and discuss its shortcomings. As far as we know, this is the first paper that discusses these shortcomings formally. We also report on ongoing work to overcome some of these problems.
    Original languageEnglish
    Pages (from-to)3-22
    Number of pages20
    JournalPerformance evaluation
    Issue number1-4
    Publication statusPublished - 2004
    EventInternational Conference on Dependable Systems and Networks, DSN 2002 - Washington, United States
    Duration: 23 Jun 200226 Jun 2002


    • IR-47888
    • Trace-driven simulations
    • Markovian traffic models
    • matrix-geometric methods
    • Queueing
    • METIS-218877
    • EWI-7872
    • Parameter fitting
    • Self-similarity

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