Large deviations and the generalized processor sharing scheduling for a multiple-queue system |
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Authors: | Zhang Zhi-Li |
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Affiliation: | (1) Department of Computer Science and Engineering, University of Minnesota, 200 Union Street S.E., Minneapolis, MN 55455, USA |
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Abstract: | ![]() We establish asymptotic upper and lower bounds on the asymptotic decay rate of per-session queue length tail distributions for a multiple-queue system where a single constant rate server services the queues using the generalized processor sharing (GPS) scheduling discipline. In the special case where there are only two queues, the upper and lower bounds match, yielding the optimal bound proved in [15]. The dynamics of bandwidth sharing of a multiple-queue GPS system is captured using the notion of partial feasible sets, and the bounds are obtained using the sample-path large deviation principle. The results have implications in call admission control for high-speed communication networks. This revised version was published online in June 2006 with corrections to the Cover Date. |
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Keywords: | asymptotic decay rate generalized processor sharing large deviation principles queue length tail distributions |
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