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[OEB16] Stochastic Model for Cloud Dada Center with M/G/c/c+r Queue

Conférence Internationale avec comité de lecture : 10th Workshop on Verification and Evaluation of Computer and Communication System, VECoS 2016, October 2016, Vol. 1689, pp.77-84, Series {CEUR} Workshop Proceedings, Tunis , Tunisia, (DOI: http://ceur-ws.org/Vol-1689)

Mots clés: Cloud Computing, Performance Evaluation, M/G/c/c+r queue, Transition Matrix, Embedded Markov Chain

Résumé: Analytical resolution of complex queuing systems remains nowadays an open and challenging issue and may be extensively used in modeling and representing dynamic behavior of sophisticated systems. This is particularly the case of M/G/c/c + r queue where exact analytical solution is difficult to reach. In this paper, we propose a new approximate analytical model in order to evaluate the performance of cloud computing center using M/G/c/c + r queuing system. The adopted modeling approach combines two models. The first one is a transform-based analytical model whereas the second relies on an approximate Markov chain. This combination enables to compute the one-step transition probabilities for the system M/G/c/c + r.

BibTeX

@inproceedings {
OEB16,
title="{Stochastic Model for Cloud Dada Center with M/G/c/c+r Queue}",
author=" A. Outamazirt and M. Escheikh and K. Barkaoui ",
booktitle="{10th Workshop on Verification and Evaluation of Computer and Communication System, VECoS 2016}",
year=2016,
edition="CEUR-WS.org",
month="October",
series="{CEUR} Workshop Proceedings",
volume=1689,
pages="77-84",
address="Tunis , Tunisia",
doi="http://ceur-ws.org/Vol-1689",
}