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arXiv 0902.1199math.PR
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$M/G/1$ - PS排队逗留时间分布的渐近展开

Asymptotic Expansions for the Sojourn Time Distribution in the $M/G/1$-PS Queue

Qiang Zhen, Charles Knessl

摘要:

我们考虑具有处理器共享服务器的$M/G/1$队列。研究了以顾客服务需求为条件的条件逗留时间分布和无条件分布在各种渐近极限下的情形。这些包括大时间和/或大服务请求,以及高负荷服务,其中到达速率仅略小于服务速率。我们的研究结果证明了无条件分布可能的尾部行为,这是以前已知的情况下$G=M$和$G=D$(其中它是纯指数)。我们假设服务密度至少以指数速度衰减。我们使用各种方法的渐近展开的积分,如拉普拉斯和鞍点方法。

英文摘要:

We consider the $M/G/1$ queue with a processor sharing server. We study the conditional sojourn time distribution, conditioned on the customer's service requirement, as well as the unconditional distribution, in various asymptotic limits. These include large time and/or large service request, and heavy traffic, where the arrival rate is only slightly less than the service rate. Our results demonstrate the possible tail behaviors of the unconditional distribution, which was previously known in the cases $G=M$ and $G=D$ (where it is purely exponential). We assume that the service density decays at least exponentially fast. We use various methods for the asymptotic expansion of integrals, such as the Laplace and saddle point methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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