Optimizing Energy Consumption in Clouds by using Genetic Algorithm

Abstract

cloud computing has recently become popular technology. Much of the literature shows that energy consumption and resource utilization in clouds are highly coupled. To integrate and make good use of resources at various scales, cloud computing needs efficient methods to manage them .In this paper, a genetic algorithm was proposed to efficiently allocate tasks to virtual machines, which allocates resources based on available resources and the energy consumption of each virtual machine. Evaluation results show that the proposed algorithm has more scale up and less energy consumption than first-fit decreasing (FFD) and best-fit decreasing (BFD) algorithms. Keywords—Virtual machine; Data center; Cloud computing; Genetic algorithm; Energy consumption

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Cite this paper

@inproceedings{Hosseinzadeh2015OptimizingEC, title={Optimizing Energy Consumption in Clouds by using Genetic Algorithm}, author={Sahar Tahbaz Hosseinzadeh}, year={2015} }