Physics – Data Analysis – Statistics and Probability
Scientific paper
2004-02-17
Nonlinear Phenomena in Complex Systems Vol.6, No.4 2003
Physics
Data Analysis, Statistics and Probability
8 pages, 12 Postscript figures, accepted in Nonlinear Phenomena in Complex Systems
Scientific paper
Self-similarity in the network traffic has been studied from several aspects: both at the user side and at the network side there are many sources of the long range dependence. Recently some dynamical origins are also identified: the TCP adaptive congestion avoidance algorithm itself can produce chaotic and long range dependent throughput behavior, if the loss rate is very high. In this paper we show that there is a close connection between the static and dynamic origins of self-similarity: parallel TCPs can generate the self-similarity themselves, they can introduce heavily fluctuations into the background traffic and produce high effective loss rate causing a long range dependent TCP flow, however, the dropped packet ratio is low.
Csabai István
Haga Peter
Pollner Peter
Simon Gabor
Vattay Gábor
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