Abstract
The paper examines energy efficiency of running computational tasks in the hybrid clouds considering data privacy and security aspects. As a case study we examine CPU demanding high-tech methods of radiation therapy of cancer. We introduce mathematical models comparing energy efficiency of running our case study application in the public cloud, private data center and on a personal computer. These models employ Markovian chains and queuing theory together to estimate energy and performance attributes of different configurations of computational environment. Finally, a concept of a Hybrid Cloud which effectively distributes computational tasks among the public and secure private clouds depending on their security requirements is proposed in the paper.
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Kharchenko, V., Ponochovnyi, Y., Boyarchuk, A., Gorbenko, A. (2015). Secure Hybrid Clouds: Analysis of Configurations Energy Efficiency. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Engineering of Complex Systems and Dependability. DepCoS-RELCOMEX 2015. Advances in Intelligent Systems and Computing, vol 365. Springer, Cham. https://doi.org/10.1007/978-3-319-19216-1_19
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DOI: https://doi.org/10.1007/978-3-319-19216-1_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19215-4
Online ISBN: 978-3-319-19216-1
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