Poisson Hypothesis for Information Networks (A study in non-linear Markov processes) I. Domain of Validity

A. Rybko; S. Shlosman

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Poisson Hypothesis for Information Networks (A study in non-linear Markov processes) I. Domain of Validity

A. Rybko·S. Shlosman

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Abstract

In this paper we study the Poisson Hypothesis, which is a device to analyze approximately the behavior of large queueing networks. We prove it in some simple limiting cases. We show in particular that the corresponding dynamical system, defined by the non-linear Markov process, has a line of fixed points which are global attractors. To do this we derive the corresponding non-linear equation and we explore its self-averaging properties. We also argue that in cases of havy-tail service times the PH can be violated.

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BibTeX RIS

A. Rybko, S. Shlosman. 2004-06-07. Poisson Hypothesis for Information Networks (A study in non-linear Markov processes) I. Domain of Validity. https://arxiv.org/abs/math/0406110

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