期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：12
页码：22496
DOI：10.15680/IJIRSET.2017.0612050
出版社：S&S Publications
摘要：Cloud computing is emerging as a new paradigm of large scale distributed computing. Load balancingis one of the main Challenges in Cloud computing which is required to distribute the dynamic workload evenly acrossall the nodes. In the cloud storage, Load balancing is a key issue. The Map reducing task can be performed parallel overthe nodes. The file chunks are not distributed uniformly as possible among the nodes. Emerging distributed systems inproduction system strongly depends on a central node for chunk reallocation. It would consume a lot of cost to maintainload information. Proper load balancing aids in minimizing resource consumption. This concludes that all the existingtechniques mainly focus on reducing overhead, service response time and improving performance etc. variousparameters are also identified, and these are used to compare the existing techniques. This paper proposed forcentralized server is change in to the decentralized server using Map reducing task.
