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.

Di Fatta, G., Lo Re, G., Urso, A. (2003). Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller. In Computational Science and Its Applications — ICCSA 2003 (pp. 417-426). Springer.

Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller

LO RE, Giuseppe;
2003-01-01

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.
2003
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
Di Fatta, G., Lo Re, G., Urso, A. (2003). Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller. In Computational Science and Its Applications — ICCSA 2003 (pp. 417-426). Springer.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/38564
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