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On the convolution algorithm for separable queuing networks

Published:29 March 1976Publication History

ABSTRACT

Research into queuing networks and their applications to computer systems is in a state of prosperity. The object of this paper is to discuss the computational aspect of separable queuing networks. Separable networks constitute that class of models for which a solution can be computed efficiently for fairly large problems. Open networks do not pose any computational problem. It is the case of closed networks where the subject of numerical algorithms becomes an issue.

In this paper, we shall take a fresh look at closed queuing networks, which we introduce as conditioned solution of suitably chosen open networks. This view will provide a probabilistic interpretation of what is normally called the normalization constant. Computational algorithms, then, result in a systematic way.

References

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        cover image ACM Conferences
        SIGMETRICS '76: Proceedings of the 1976 ACM SIGMETRICS conference on Computer performance modeling measurement and evaluation
        March 1976
        326 pages

        Copyright © 1976 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 29 March 1976

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        Overall Acceptance Rate459of2,691submissions,17%

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