DocumentCode
3090032
Title
Approximate Mean Value Analysis of Process Algebra Models
Author
Tribastone, Mirco
Author_Institution
Inst. fur Inf., Ludwig-Maximilians-Univ., Munich, Germany
fYear
2011
fDate
25-27 July 2011
Firstpage
369
Lastpage
378
Abstract
Studying the existence of product forms of performance models described with compositional techniques is of central importance since this may lead to particularly efficient solution methods. This paper considers a class of models in the stochastic process algebra PEPA which do not enjoy the exact product form solutions available in the literature. However, they can be interpreted as queueing networks with service vacations and multiple resource possession, which have been shown to admit accurate analytical approximations based on mean value analysis. Special attention is devoted to situations where the use of the competing approximate method based on ordinary differential equations may be questionable due to the presence of components with few replicas.
Keywords
approximation theory; differential equations; process algebra; queueing theory; stochastic processes; approximate mean value analysis; compositional techniques; multiple resource possession; ordinary differential equations; product forms; queueing networks; service vacations; stochastic process algebra PEPA; Analytical models; Approximation methods; Computational modeling; Numerical models; Servers; Synchronization; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2011 IEEE 19th International Symposium on
Conference_Location
Singapore
ISSN
1526-7539
Print_ISBN
978-1-4577-0468-0
Type
conf
DOI
10.1109/MASCOTS.2011.28
Filename
6005381
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