Analysis of queues with hyperexponential arrival distributions


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

We study H2/H2/1, H2/M/1, and M/H2/1 queueing systems with hyperexponential arrival distributions for the purpose of finding a solution for the mean waiting time in the queue. To this end we use the spectral decomposition method for solving the Lindley integral equation. For practical application of the obtained results, we use the method of moments. Since the hyperexponential distribution law has three unknown parameters, it allows to approximate arbitrary distributions with respect to the first three moments. The choice of this distribution law is due to its simplicity and the fact that in the class of distributions with coefficients of variation greater than 1, such as log-normal, Weibull, etc., only the hyperexponential distribution makes it possible to obtain an analytical solution.

作者简介

V. Tarasov

Povolzhskiy State University of Telecommunications and Informatics

编辑信件的主要联系方式.
Email: vt@ist.psati.ru
俄罗斯联邦, Samara

补充文件

附件文件
动作
1. JATS XML

版权所有 © Pleiades Publishing, Inc., 2016