A Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks

Nonlinear Sciences – Adaptation and Self-Organizing Systems

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

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.

Rate now

     

Profile ID: LFWR-SCP-O-120768

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.