利用补充变量技术求解突变-恢复型M/G/1排队系统的稳态

IF 1.2 Q2 MATHEMATICS, APPLIED
Rakesh Kumar
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引用次数: 1

摘要

非马尔可夫排队模型在现实生活现象的建模中占有一席之地。事实上,当无法获得到达间隔时间或服务时间的特定概率分布时,它们的效用会得到增强。在计算机通信建模时,假定服务时间具有一般的服务时间分布。近年来,灾变模型及其在实际中的应用成为研究的重点。考虑到这一点,我们开发了一个具有灾难性和恢复性效应的M/G/1排队模型。利用补充变量法得到了模型的稳态解。作为该模型的特殊情况,得到了一些排队模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Steady State Solution of a Catastrophic-cum-Restorative M/G/1 Queuing System Using Supplementary Variable Technique
Non- Markovian queuing models have their place in modeling the real life phenomena. In fact, their utility get enhanced when one is not able to get a particular probability distribution for either the inter-arrival times or for the service times. The service times are assumed to have general service time distribution in case of computer communication modeling. Recently, the emphasis is put on the catastrophe modeling and its applications in real situations. Keeping this in view, an M/G/1 queuing model has been developed with catastrophic and restorative effects. The steady-state solution of the model has been obtained using supplementary variable technique. Some queuing models have been obtained as particular cases of this model.
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来源期刊
Journal of Applied Mathematics
Journal of Applied Mathematics MATHEMATICS, APPLIED-
CiteScore
2.70
自引率
0.00%
发文量
58
审稿时长
3.2 months
期刊介绍: Journal of Applied Mathematics is a refereed journal devoted to the publication of original research papers and review articles in all areas of applied, computational, and industrial mathematics.
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