Parallel genetic algorithms for the tuning of a fuzzy AQM controller

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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 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.

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Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/6147
Identification Number/DOI	10.1007/3-540-44839-X_45
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Publisher	Springer
Publisher Statement	The original publication is available at www.springer.com/lncs
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Date Deposited:	09 Aug 2010 13:36	Date item deposited into CentAUR
Last Modified:	23 Jun 2024 05:06	Date item last modified

References

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