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Fluid limits for the queue length of jobs in multiserver openqueueing networks

Published online by Cambridge University Press:  21 March 2014

Saulius Minkevičius*
Affiliation:
Institute of Mathematics and Informatics of VU, Akademijos 4, 08663 Vilnius, Lithuania.. minkevicius.saulius@gmail.com

Abstract

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The object of this research in the queueing theory is a theorem about theStrong-Law-of-Large-Numbers (SLLN) under the conditions of heavy traffic in a multiserveropen queueing network. SLLN is known as a fluid limit or fluid approximation. In thiswork, we prove that the long-term average rate of growth of the queue length process of amultiserver open queueing network under heavy traffic strongly converges to a particularvector of rates. SLLN is proved for the values of an important probabilisticcharacteristic of the multiserver open queueing network investigated as well as the queuelength of jobs.

Information

Type
Research Article
Copyright
© EDP Sciences, ROADEF, SMAI, 2014