Kharchenko, V.Ponochovnyi, Y. L.Boyarchuk, A.Gorbenko, A.Поночовний, Юрій Леонідович2019-02-122019-02-122015Kharchenko, V., Ponochovnyi, Y., Boyarchuk, A., Gorbenko, A. Secure hybrid clouds: Analysis of configurations energy efficiency (2015) Advances in Intelligent Systems and Computing, 365, pp. 195-209.https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946398470&doi=10.1007%2f978-3-319-19216-1_19&partnerID=40&md5=df2cca8698893277f521da963416d987 WOS:000365127100019https://dspace.pdau.edu.ua/handle/123456789/2076The 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 paperenEnergy efficiencyHybrid cloudArticle10.1007/978-3-319-19216-1_19