6533b862fe1ef96bd12c6486

RESEARCH PRODUCT

Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller

Alfonso UrsoGiuseppe Lo ReGiuseppe Di Fatta

subject

RouterSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniQueue management systemComputer sciencebusiness.industryDistributed computingFuzzy control systemActive queue managementFuzzy logicNetwork congestionTCP Actuve Queue Management Genetic algorithms Fuzzy logic AQM TCP congestion controlControl theoryGenetic algorithmbusinessComputer network

description

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.

yearjournalcountryeditionlanguage
2003-01-01
http://hdl.handle.net/10447/38564