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Analytic Modeling of Load Balancing Policies for Tasks With Heavy-Tailed Distributions

Overview This paper presents an analytic methodology for the exact analysis of load balancing policies in distributed multi-server system conditioned on the fact that the duration of arriving tasks is best described by a heavy tail distribution. This paper emphasizes that this methodology allows for the exact quantification of the effect of the task sizes on queue build-up for the various servers, and consequently allows for the detection of the cause of load imbalances. This analysis indicates that a size-based policy that reserves specific servers for specific ranges of incoming task sizes greatly outperforms a policy that simply assigns an in-coming task to a randomly selected host.

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Publisher
College of William and Mary
File Format
PDF
Date Published
Jul 10, 2008
Format
White Papers
Topics
Load Balancing

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