Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2003-11-21
Nonlinear Sciences
Adaptation and Self-Organizing Systems
13 pages, 4 figures (with 8 sub-figures), uses subfigure.sty, revised from a submission to ICOIN'04
Scientific paper
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.
Chen Maoke
He Tao
Li Xing
No associations
LandOfFree
A Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-120768