Poisson Hypothesis for Information Networks
(A study in non-linear Markov processes).
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 equations and we explore its self-averaging
properties. We also argue that in cases of heavy-tail service times the
PH can be violated.
We present the main combinatorial step of our proof. That
combinatorial statement deals with the rod placements on the line.