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An Analytic Model for Correlated Traffics in Computer-Communication Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

Abstract

It is well known that the traffic in computer-communication systems is autocorrelated and the correlation makes an great effect on the performances. So it is important to study the correlated arrival process to better estimate the performances at the system and Markov renewal process is considered here to model the autocorrelated arrival stream. We derive the expected number of packets at arbitrary epoch and expected delay time using supplementary variable method.

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© 2005 Springer-Verlag Berlin Heidelberg

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Lim, SY., Hur, S. (2005). An Analytic Model for Correlated Traffics in Computer-Communication Networks. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_64

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  • DOI: https://doi.org/10.1007/11424925_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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