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Sojourn Time Asymptotics in Processor Sharing Queues with Varying Service Rate; Probability rept

机译:具有不同服务速率的处理器共享队列中的逗留时间渐近;概率来看

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This paper addresses the sojourn time asymptotics for a GI/GI/(center dot) queue operating under the Processor Sharing (PS) discipline with stochastically varying service rate. Our focus is on the logarithmic estimates of the tail of sojourn-time distribution, under the assumption that the job-size distribution has a light tail. Whereas upper bounds on the decay rate can be derived under fairly general conditions, the establishment of the corresponding lower bounds requires that the service process satisfies a samplepath large-deviation principle. We show that the class of allowed service processes includes the case where the service rate is modulated by a Markov process. Finally, we extend our results to a similar system operation under the Discriminatory Processor Sharing (DPS) discipline. Our analysis relies predominantly on large-deviations techniques.

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