QUEUING NETWORKS WITH MULTIPLE CLOSED CHAINS - THEORY AND COMPUTATIONAL ALGORITHMS

被引:133
作者
REISER, M [1 ]
KOBAYASHI, H [1 ]
机构
[1] IBM CORP,THOMAS J WATSON RES CTR,YORKTOWN HTS,NY 10598
关键词
PROBABILITY - Queueing Theory;
D O I
10.1147/rd.193.0283
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A recent result of E. Baskett, K. M. Chandy, R. R. Muntz, and F. G. Palacios is generalized to the case in which customer transitions are characterized by more than one closed Markov chain. Generating functions are used to derive closed-form solutions to stability, normalization constant, and marginal distributions. For such a system with N servers and L chains the solutions are considerably more complicated than those for systems with one subchain only. It is shown how open and closed subchains interact with each other in such systems. Efficient algorithms are then derived from the generating function representation.
引用
收藏
页码:283 / 294
页数:12
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