Designing fair flow fuzzy controller using genetic algorithm for computer networks

Authors:
Weirong Liu;Min Wu;Jun Peng;Guojun Wang
Affiliations:
Central South University, Changsha, China;Central South University, Changsha, China;Central South University, Changsha, China;Central South University, Changsha, China
Venue:
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Year:
2009

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Abstract

To utilize the link bandwidth efficiently in network, F.P.Kelly proposed the classic optimal model using utility function, which can converge to proportional fair point with asymptotic stability. However, the primal algorithm of Kelly model leads to the packet accumulation in the queue of the bottleneck link. By using heuristic fuzzy rules, this paper designs a fuzzy controller to adjust the additive increase parameter of the primal algorithm dynamically. Then genetic algorithm is used to optimize the scaling gains of the fuzzy controller, which is called GA-based fuzzy controller in this paper. The primal algorithm with the GA-based fuzzy controller can avoid the packet accumulation and keep the fairness and asymptotical stability. Thus it improves the performance of the primal algorithm.