Improving the Performance of Load Balancing in Cloud Environment Using SJF in MapReduce
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2014 by IJCOT Journal|
|Volume - 4 Issue - 2
|Year of Publication : 2014|
|Authors : Prof. Priya.V , Prof. Subha S|
|DOI : 10.14445/22492593/IJCOT-V7P302|
Prof. Priya.V , Prof. Subha S. "Improving the Performance of Load Balancing in Cloud Environment Using SJF in MapReduce", International Journal of Computer & organization Trends (IJCOT), V4(2):51-54 Mar - Apr 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Today Cloud computing is a fast growing area in computing research and industry. Through virtualization many applications can be developed and various services can be offered to the end users. Cloud service providers are provided many services in a very flexible manner so that the users can scale up or scale down as they wish. In this paper, a new load balancing algorithm has been proposed using Hadoop-MapReduce and SJF Preemptive scheduling algorithm between Mapper and Reducer.
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Cloudsim, DataCenter, Virtualization, Virtual Machine, Load Balancing, MapReduce.