Large Deviation Analysis of Subexponential Waiting Times in a Processor-Sharing Queue

We investigate the distribution of the waiting time V in a stable M/G/1 processor-sharing queue with traffic intensity ρ < 1. When the distribution of a customer service request B belongs to a large class of subexponential distributions with tails heavier than e−√x, it is shown that

Furthermore, we demonstrate that the preceding relationship does not hold if the service distribution has a lighter tail than e−√x.

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