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Duality results for Markov-modulated fluid flow models

Published online by Cambridge University Press:  14 July 2016

Soohan Ahn
Affiliation:
University of Seoul, Department of Statistics, The University of Seoul, Seoul 130-743, Korea
Vaidyanathan Ramaswami
Affiliation:
AT&T Labs-Research, AT&T Labs-Research, 180 Park Avenue, Florham Park, NJ 07932, USA. Email address: vram@research.att.com
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Abstract

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We establish some interesting duality results for Markov-modulated fluid flow models. Though fluid flow models are continuous-state analogues of quasi-birth-and-death processes, some duality results do differ by the inclusion of a scaling factor.

Information

Type
Part 7. Queueing Theory and Markov Processes
Copyright
Copyright © Applied Probability Trust 2011