Parallel genetic algorithms for the tuning of a fuzzy AQM controllerDi 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 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1007/3-540-44839-X_45 Abstract/SummaryThis 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.
Altmetric Related URLs Deposit Details References University Staff: Request a correction | Centaur Editors: Update this record |
Lists
Lists
