A NEW EFFICIENT VIRTUAL MACHINE LOAD BALANCING ALGORITHM FOR A CLOUD COMPUTING ENVIRONMENT
The performances of computational resources are depending on several concepts, one of which is load balancing concept. The load balancing concept is totally dependent on the how much amount of work allotted to the node for a specific time period of time. This is the time where node has to manage and work according to the given priority. There are several load balancing algorithms are available for the improvement and optimization of cloud performances. The nature of the load balancing algorithm can be static or dynamic, although some algorithms are simple but under the some factor they work more effectively. Cloud computing is a service oriented architecture which is provided via internet. The objective of the service provider is to provide maximum available resources and this can be achieved by implementing load balancing algorithm which helps in gaining load balancing objective. In this paper we proposed an algorithm which is experimented on a Cloud Analyst environment.
Jianhua Gu,Guofei Sun,Tianhai Zhao."A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment “Parallel Architectures, Algorithms and Programming (PAAP), 2010 Third International Symposium on cloud. 18-20 Dec 2010.
Randles,M.,Lamb,D.,Taleb-Bendiab,A."A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing" proceedings of Advanced Information Networking and Applications Workshops (WAINA), 2010.
Gaochao Xu, Junjie Pang, and Xiaodong Fu."A Load Balancing Model Based on Cloud Partitioning for the Public Cloud”. proceedings of Advanced Information Networking and Applications Workshops (WAINA), 2010.
C. L. Dumitrescu and I. Foster. GangSim: a simulator for grid scheduling studies. Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2005), Cardiff, UK, 2005.
A. Legrand, L. Marchal, and H. Casanova. Scheduling distributed applications: the SimGrid simulation framework. Proceedings of the 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003.
W. Bell, D. Cameron, L. Capozza, P. Millar, K. Stockinger, F. Zini. Simulation of dynamic Grid replication strategies in OptorSim. Proceedings of the 3rd International Workshop on Grid Computing (Grid 2002), Baltimore, U.S.A. IEEE CS Press: Los Alamitos, CA, U.S.A., November 18, 2002
R. Buyya and M. Murshed. GridSim: A Toolkit for the Modelling and Simulation of Distributed Resource Management and Scheduling for Grid Computing. Concurrency and Computation: Practice and Experience, 14(13-15), Wiley Press, Nov.-Dec., 2002.
Rodrigo N. Calheiros,Rajiv Ranjan, Anton Beloglazov,César A. F. De Rose and Rajkumar Buyya "CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms." Proceedings of Software: Practice and Experience (SPE), Volume 41, Number 1, Pages: 23-50, ISSN: 0038-0644, Wiley Press, New York, USA, January, 2011.
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