Date of Publication :7th December 2015

Abstract: Cloud computing has emerged as a revolutionary technology in the recent past. It has gained huge popularity among organizations due to its business oriented nature. Being a business model, the service provider and the customer both are concerned about economies of the services. Scheduling is responsible for utilization of resources to a large extent. Good scheduling policies result in optimal usage of the resources. Energy is a significant resource in the field of computing which should be emphasized to be utilized optimally with the help of a good scheduling policy. Moreover energy conservation can a play major role in system reliability and environmental protection. Scheduling in cloud has been proven to be an NP hard problem due to the heterogeneity of the participating resources and huge search space. GA has gained popularity among the evolutionary techniques to deal with NP hard problems like scheduling. The proposed work presents a model with scheduling strategy to minimize the energy consumption of a job submitted to the cloud. It is done ensuring resource assignment according to the precedence and communication cost constraints. The work includes the analysis of the experimental results under various conditions.

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