Factorization Properties for a MAP-Modulated Fluid Flow Model Under Server Vacation Policies

Jung Woo Baek, Ho Woo Lee, Se Won Lee, Soohan Ahn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The classic Markov-modulated fluid flow (MMFF) model is a stochastic model in which the rate of change of the fluid level is modulated by an underlying Markov chain (UMC). It was introduced by Anick et al. to analyze a data-handling system with multi-input sources [6]. More details about the conventional MMFF model can be found in Aggarwal et al. [1], Ahn [2], Ahn and Ramaswami [3-5], Asmussen [7], Mitra [22], and references therein.

Original languageEnglish
Title of host publicationMatrix-Analytic Methods in Stochastic Models
PublisherSpringer New York LLC
Pages1-24
Number of pages24
ISBN (Print)9781461449089
DOIs
StatePublished - 2013

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume27
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

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