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Parallel genetic algorithms for the tuning of a fuzzy AQM controller

Di Fatta, G., Lo Re, G. and Urso, A. (2003) Parallel genetic algorithms for the tuning of a fuzzy AQM controller. Lecture Notes in Computer Science, 2003 (2667). pp. 417-426. ISSN 0302-9743

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To link to this article DOI: 10.1007/3-540-44839-X_45

Abstract/Summary

This paper presents the results of the application of a parallel Genetic Algorithm (GA) in order to design a Fuzzy Proportional Integral (FPI) controller for active queue management on Internet routers. The Active Queue Management (AQM) policies are those policies of router queue management that allow the detection of network congestion, the notification of such occurrences to the hosts on the network borders, and the adoption of a suitable control policy. Two different parallel implementations of the genetic algorithm are adopted to determine an optimal configuration of the FPI controller parameters. Finally, the results of several experiments carried out on a forty nodes cluster of workstations are presented.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:6147
Publisher:Springer
Publisher Statement:The original publication is available at www.springer.com/lncs

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