Author : P.Srinivasa Rao 1
Date of Publication :7th October 2016
Abstract: Big data is a fast growing technology in addition to the initial stage of development in big data. Two different kinds of computing areas we have batch computing and stream computing. But it should not satisfying all the aspects like energy efficiency, resource allocation time, and there is no proper scheduling algorithm for faster resource allocation in this paper, especially we discuss with a comparative study of energy bargain techniques has been made in the big data environment which comprises two computing areas like Batch Computing and stream computing. In this context, a special attention has been made to focus on techniques which achieve higher energy efficiency and lower response time. And we provide mathematical relations to evaluating the performance time of a task, and energy efficiency In Existing scenario, Suitable methods will be proposed sort out the issues associated with Big Data Environment. In this paper applying controls and resource scheduling techniques for Big Data platforms to improve performance.
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