Abstract : In this paper, we present a novel stochastic analyzing model for e2e virtualized cloud services using hierarchical Quasi-Birth Death structures (QBDs). We divide the overall virtualized cloud services into three sub-hierarchies, and then, analyze each individual sub-hierarchy using QBDs. Our approach reduces the complexity of performance analysis. Our results are useful to prevent the cloud center from entering unsafe operation, and also reveal practical insights into load balancing and capacity planning for virtualized computing environments.
Type de document :
Communication dans un congrès
Ching-Hsien Hsu; Xuanhua Shi; Valentina Salapura. 11th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2014, Ilan, Taiwan. Springer, Lecture Notes in Computer Science, LNCS-8707, pp.546-549, 2014, Network and Parallel Computing. 〈10.1007/978-3-662-44917-2_49〉
https://hal.inria.fr/hal-01403139
Contributeur : Hal Ifip
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Soumis le : vendredi 25 novembre 2016 - 14:45:25
Dernière modification le : vendredi 1 décembre 2017 - 01:10:09
Document(s) archivé(s) le : mardi 21 mars 2017 - 04:25:57
