Abstract: Cloud computing is a sophisticated technology which provides services to the end users within a fraction of time based on pay-as-you-go model. However energy consumption is one of the major concern in cloud computing as large amount of energy is wasted by the data centres hosting cloud applications and the carbon dioxide gas is released into the atmosphere polluting the environment. So pollution needs to be reduced by lowering the energy usage. Therefore, we'd prefer to propose a green computing solution which is not only able to minimize makespan and operational costs however in addition to minimize the environmental pollution. Throughout this paper, we tend to stipulate a framework that specifies energy minimization is a generalization of makespan minimization by using the Energy-Aware Genetic Algorithm Based Task Scheduling Algorithm. During this paper we tried to conduct a survey on different scheduling methods of energy minimization in cloud data centres and their limitations and at the end of this paper we provide a green energy-aware task scheduling algorithm using the Genetic algorithm for Cloud computing datacenters.
Keywords: Cloud Computing, Energy-Aware, QoS, Genetic Algorithm.
Title: Energy Aware Task Scheduling Using Genetic Algorithm in Cloud Datacentres
Author: Ipsita Kar, Prof. Himansu Das
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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