Analysis of single server queueing systems with heavy tail distributions

A.A. Rizvi, A. Hussain
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引用次数: 3

Abstract

Heavy tail distributions serve as better models in today's high speed communication networks, where the traffic is heterogeneous in nature. It has been asserted that these distributions do not have closed form for their Laplace transforms, hence classical queueing models can not be applied. A little is known about exact solutions of queueing systems with heavy tail distributions. In this paper it has been shown that the exact expressions for the Laplace transforms of some heavy tail distributions can be obtained with little attempt and these expressions offer exact analysis of queueing systems using classical queueing models. A simulator has been developed to verify the analytical results
具有重尾分布的单服务器排队系统分析
在今天的高速通信网络中,重尾分布是一种更好的模型,在这种网络中,流量本质上是异构的。已经断言这些分布的拉普拉斯变换不具有闭形式,因此经典的排队模型不能应用。对于具有重尾分布的排队系统的精确解,我们所知甚少。本文证明了一些重尾分布的拉普拉斯变换的精确表达式可以很容易地得到,这些表达式提供了用经典排队模型对排队系统进行精确分析的方法。开发了一个模拟器来验证分析结果
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