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
Link To Document :
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