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.
This work was supported by the National 973 Basic Research Program of China under Grant Number 2011CB302601, China Postdoctoral Science Foundation under Grant Number 2013M542561, and Scientific Research Fund of Hunan Provincial Education Department under Grant 14B040.
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Yan, G., Peng, Y. (2014). Performance Analysis of End-to-End Services in Virtualized Computing Environments. In: Hsu, CH., Shi, X., Salapura, V. (eds) Network and Parallel Computing. NPC 2014. Lecture Notes in Computer Science, vol 8707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44917-2_49
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DOI: https://doi.org/10.1007/978-3-662-44917-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44916-5
Online ISBN: 978-3-662-44917-2
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