TO LOAD BALANCING IN COMPUTER NETWORKS

1 May 1992

journal article
research article
Published by Taylor & Francis in Cybernetics and Systems

Vol. 23 (3) , 389-400
https://doi.org/10.1080/01969729208927471

Abstract

This paper presents an AI-based approach to Load balancing in computer networks; the load redistribution in the network is controlled by a rule-based expert system. Our experiments have shown that changes in the workload structure impose the necessity of automated modifications of the rules in the knowledge base. These modifications are made by means of a machine learning subsystem that is incremental and capable of forgetting pieces of knowledge that have become obsolete. This paper can be understood as a brief report on a real-world application of Michalski's idea of flexible concepts.

Keywords

This publication has 5 references indexed in Scilit:

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