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Opportunistic Scheduler Evaluation Using Discriminatory Processor Sharing Model

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2 Author(s)
Lei Lei ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing ; Chuang Lin

This paper studies the flow-level performance of a special family of weight-based opportunistic scheduler using discriminatory processor sharing (DPS) model. It is known that this family of schedulers can achieve any feasible long- term throughput vectors by the variation of its weights. The optimal weight setting problem under DPS model is studied by decomposing it into two subproblems. In each subproblem, a guideline as to how the weight should be chosen is derived. The usage of these two guidelines in analyzing the original problem is discussed via theoretical and simulation results.

Published in:

Communications, 2008. ICC '08. IEEE International Conference on

Date of Conference:

19-23 May 2008

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