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Power Aware Scheduling in Cloud using Ant Colony Optimization

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Document pages: 5 pages

Abstract: In data centres all the virtual machines (VM) are hosted on the physical server, so there is a need for a large amount of energy for maintaining the servers. As the number of physical servers and resources such as power and storage are increased, consumption of the massive amount of electrical power at cloud data centres occurs and due to this, the more economical cost is also required. In this paper, we focused on minimizing the total power consumption of a data centre taking consideration of different parameters like IT equipment power consumption and cooling power consumption in cloud computing. Furthermore, for the same purpose, ant colony optimization (ACO) is used to provide the best mapping of VM to the server by optimizing the power consumption of the data centre. Simulation Result shows that the proposed algorithm performed better than the min-min algorithm.

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