A Fuzzy Approach for Achieving Proportional Fairness in Data Networks
Publish place: 8th Annual Conference of Computer Society of Iran
Publish Year: 1381
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ACCSI08_022
تاریخ نمایه سازی: 18 بهمن 1386
Abstract:
Proportional fairness criterion, which has proposed the first time by F.P.Kelly, has outstanding properties in allocating users’ rates. For example, it resembles the Jacobson’s AIMD method in rate allocation to users and there exists a well- established stability analysis relating to stability of rate allocation algorithm in the Kelly’s work. The Kelly’s algorithm uses a form of scaled gradient ascent projection method for converging to the equilibrium point, but there is not any method by which users can adjust their gain parameter in the rate allocation algorithm intelligently. In this paper, we have proposed a novel Fuzzy method by which users can adjust their gain parameter based on some measure that is derived from congestion information that is fed back from network to each user. As our simulation results show, our rate allocation method outperforms that of Kelly in rate of convergence.
Keywords:
Proportional Fairness , Fuzzy Inference System , penalty function , time-varying scaled gradient method , elastic traffic , best-effort.
Authors
Gudarzi
Ph.D student in Electrical & Computer Eng. Dept. of Isfahan University of Technology
Sheikholeslam
Assistant Professor of Electrical & Computer Eng. Dept. of Isfahan University of Technology
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