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An Analytical Evaluation of Autocorrelations in TCP Traffic

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Technologies for Advanced Heterogeneous Networks (AINTEC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3837))

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Abstract

This paper addresses the problem of characterizing analytically the autocorrelation structure of TCP traffic. We show that, under simple models, a single TCP connection generates traffic with an exponentially decreasing autocorrelation function. However, several TCP connections sharing a given link can generate traffic with long term dependencies, under the condition that the distribution of their round trip delays is heavy tailed.

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© 2005 Springer-Verlag Berlin Heidelberg

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Rodolakis, G., Jacquet, P. (2005). An Analytical Evaluation of Autocorrelations in TCP Traffic. In: Cho, K., Jacquet, P. (eds) Technologies for Advanced Heterogeneous Networks. AINTEC 2005. Lecture Notes in Computer Science, vol 3837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599593_22

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  • DOI: https://doi.org/10.1007/11599593_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30884-3

  • Online ISBN: 978-3-540-32292-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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