The use of learning algorithms in telephone traffic routing-A methodology

Authors:
Kumpati S. Narendra;Philip Mars
Affiliations:
Department of Electrical Engineering, New Haven, CT 06520, U.S.A.;Leicester Polytechnic, Leicester LE1 9BH, U.K.
Venue:
Automatica (Journal of IFAC)
Year:
1983

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Brief paper: Learning models for decentralized decision making

Automatica (Journal of IFAC)
Research: On the use of a stochastic estimator learning algorithm to the ATM routing problem: a methodology

Computer Communications

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Abstract

A theoretical as well as conceptual framework for the use of learning algorithms in telephone traffic routing is given. The approach is distinctly different from the mathematical programming methods generally used in such cases. Learning algorithms at the network nodes update their strategies for routing traffic on the basis of success or failure in completing calls. The entire system is described as a Markov process and different learning schemes are shown to lead to different flow patterns in the steady state.