Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller (Articolo in rivista)

Type
Label
  • Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/3-540-44839-X_45 (literal)
Alternative label
  • Di Fatta Giuseppe, Lo Re Giuseppe, Urso Alfonso (2003)
    Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Di Fatta Giuseppe, Lo Re Giuseppe, Urso Alfonso (literal)
Pagina inizio
  • 417 (literal)
Pagina fine
  • 426 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2667- (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • This paper proposes the adoption of a Fuzzy Proportional Integral controller for the active queue management in computer networks in order to achieve both good queue regulation and high link utilization. The design methodology involves the usage of a Parallel Genetic Algorithm to determine all the fuzzy system parameters. (literal)
Note
  • Google Scholar (literal)
  • ISI Web of Science (WOS) (literal)
  • Scopus (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1,2,3- ICAR-CNR; (literal)
Titolo
  • Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller (literal)
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. (literal)
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