A Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks
Adaptation and Self-Organizing Systems
2007-05-23 v1
Abstract
A Mean-Field theory is presented and applied to a Cellular Automata model of distributed packet-switched networks. It is proved that, under a certain set of assumptions, the critical input traffic is inversely proportional to the free packet delay of the model. The applicability of Mean-Field theory in queue length estimation is also investigated. Results of theoretical derivations are compared with simulation samples to demonstrate the availability of the Mean-Field approach.
Keywords
Cite
@article{arxiv.nlin/0311048,
title = {A Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks},
author = {Maoke Chen and Tao He and Xing Li},
journal= {arXiv preprint arXiv:nlin/0311048},
year = {2007}
}
Comments
13 pages, 4 figures (with 8 sub-figures), uses subfigure.sty, revised from a submission to ICOIN'04