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Solution of closed, product form, queueing networks via the RECAL and tree-RECAL methods on a shared memory multiprocessor

Published: 01 April 1989 Publication History

Abstract

RECAL is a new recurrence relation for calculating the partition function and various queue length moments for closed, product form networks. In this paper we discuss a number of the issues involved in the software implementation of RECAL on both sequential computers and parallel, shared memory computers. After a brief description of RECAL, we describe software implementing RECAL on a sequential computer. In particular, we discuss the problems involved in indexing and data storage. Next we describe code implementing RECAL on a parallel, shared memory computer. Special attention is given to designing a special buffer for temporary data storage and several other important features of the parallel code. Finally, we touch on software for serial and parallel implementations of a tree algorithm for RECAL.

References

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Conway, A. E. and Georganas, N. D., "RECAL, a new efficient algorithm for the exact analysis of multiple-chain closed queueing networks", j. ACM 33, 4 (October 1986), 768-791.
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McKenna, J. "A new proof and a tree algorithm for RECAL". Stochastic Models, 4, 2 (1988), 235-276.
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Lain, S. S. and Lien, Y. L., "A tree convolution algorithm for the solution of queueing networks". Commun. ACM 26, 3 (March 1983), 203-215.
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Lavenberg, S. S., "Computer Performance Modeling Handbook", Academic Press, New York, 1983.
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McKenna, J. "Calculating joint queue length moments with RECAL". To appear.
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cover image ACM Conferences
SIGMETRICS '89: Proceedings of the 1989 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
April 1989
242 pages
ISBN:0897913159
DOI:10.1145/75108
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 April 1989

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