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Reordering heuristics for routing in communications networks

Published online by Cambridge University Press:  14 July 2016

Donald M. Topkis
Donald M. Topkis*
Affiliation:
AT&T Bell Laboratories
*
∗Present address: Graduate School of Administration, University of California, Davis, CA 95616, USA.
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Abstract

Move-to-front and move-to-back heuristics are considered for adaptively reordering routing tables in communications networks. Limiting properties are established for Markov chain models of these heuristics. The limiting distributions of the number of path attempts per call for the two heuristics and for a fixed random permutation are stochastically ordered.

Keywords

MARKOV CHAIN MODELS
Type
Research Papers
Information
Journal of Applied Probability , Volume 23 , Issue 1 , March 1986 , pp. 130 - 143
Copyright
Copyright © Applied Probability Trust 1986 

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