Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller

Giuseppe Lo Re, Giuseppe Lo Re, Alfonso Urso, Giuseppe Di Fatta

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Abstract

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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteComputational Science and Its Applications — ICCSA 2003
Pagine417-426
Numero di pagine10
Stato di pubblicazionePublished - 2003

Serie di pubblicazioni

NomeLECTURE NOTES IN COMPUTER SCIENCE

All Science Journal Classification (ASJC) codes

  • ???subjectarea.asjc.2600.2614???
  • ???subjectarea.asjc.1700.1700???

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