Improving the Performance of Load Balancing in Cloud Environment Using SJF in MapReduce
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International Journal of Computer & Organization Trends (IJCOT) | 
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| © 2014 by IJCOT Journal | ||
| Volume - 4 Issue - 2 |
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| Year of Publication : 2014 | ||
| Authors : Prof. Priya.V , Prof. Subha S | ||
| DOI : 10.14445/22492593/IJCOT-V7P302 |
Citation
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.
Abstract
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.
References
[1] Meenakshi Sharma, Pankaj Sharma, Dr. Sandeep Sharma,Efficient Load Balancing Algorithm in VM Cloud Environment,IEEE,2012.
[2] Jasmin James, Efficient VM Load Balancing Algorithm For A Cloud Computing Environment,IEEE,2012
[3] Lars Kolb, Andreas Thor, Erhard Rahm, Block-based Load Balancing for Entity Resolution with MapReduce,IEEE,2011
[4] Shu-Ching Wang, Kuo-Qin Yan *(Corresponding author), Wen-Pin Liao and Shun-Sheng Wang, Towards a Load Balancing in a Three-level Cloud Computing Network,IEEE,2010
[5] Martin Randles, David Lamb, A. Taleb-Bendiab, A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing,IEEE,2010
[6] Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yun Tian,James Majors, Adam Manzanares, and Xiao Qin, Improving MapReduce Performance through Data Placement in Heterogeneous Hadoop Clusters,IEEE,2012
Keywords
Cloudsim, DataCenter, Virtualization, Virtual Machine, Load Balancing, MapReduce.