Energy Efficient Virtual Machine Allocation in Cloud

Abstract:

Cloud data centers hosting cloud applications consume huge amounts of electrical energy, contributing to high operational costs and carbon footprints to the environment. When virtualized resources of cloud data centers are allocated, the energy consumption is a problem to be considered necessarily. In this paper, three energy efficient virtual machine allocation algorithms are carried on experimental analysis, including MAX, DVFS and dynamic deployment algorithm (DDA). We have evaluated these algorithms by conducting a performance evaluation study using the CloudSim toolkit. The experimental results show that the dynamic virtual machine allocation algorithm like as DDA is more energy-efficient and the virtual machine migration is an efficient saving energy method.

• Periodical: Applied Mechanics and Materials (Volume 389)
• Pages: 887-890
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.389.887
• Online since: August 2013
• Authors: Zhong Tang He, Xiao Qing Zhang, Tong Kai Ji, Zhi Wei Xu
• Keywords: Cloud Computing, Energy Consumption (EC), Virtual Machine Migration

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