Iterative algorithms for performance evaluation of closed network models

被引：2
|
作者：
Krougly, ZL [1 ]
Stanford, DA [1 ]
机构：
[1] Univ Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B9, Canada
来源：
PERFORMANCE EVALUATION | 2005年 / 61卷 / 01期
关键词：
multiclass queueing networks; sensitivity analysis; priority approximation; global balance solution; optimization problems;
D O I：
10.1016/j.peva.2004.09.004
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A number of nonlinear programming algorithms are proposed to obtain the approximate solutions for nonproduct form multiclass queueing network models, as well as priority queueing networks. Using sensitivity analysis, we develop an efficient iterative technique for closed queueing networks. We compare the approximate solutions obtained from our approach with the global balance solution. Examples illustrate the accuracy of the approximation, and compare the efficiency of the different optimization methods we have implemented. (c) w 2004 Published by Elsevier B.V.
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页码：41 / 64
页数：24
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