A queueing analysis of max-min fairness, proportional fairness and balanced fairness |
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Authors: | T. Bonald L. Massoulié A. Proutière J. Virtamo |
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Affiliation: | (1) France Telecom, France;(2) Microsoft Research, Cambridge;(3) Helsinki University of Technology, Finland |
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Abstract: | We compare the performance of three usual allocations, namely max-min fairness, proportional fairness and balanced fairness, in a communication network whose resources are shared by a random number of data flows. The model consists of a network of processor-sharing queues. The vector of service rates, which is constrained by some compact, convex capacity set representing the network resources, is a function of the number of customers in each queue. This function determines the way network resources are allocated. We show that this model is representative of a rich class of wired and wireless networks. We give in this general framework the stability condition of max-min fairness, proportional fairness and balanced fairness and compare their performance on a number of toy networks. |
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Keywords: | Resource allocation Flow-level modeling Stability Insensitivity |
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