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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
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Smart Load Balancing Algorithm towards Effective Cloud Computing

Vibha M B, Dr.R.RajuGondkar

DOI: 10.17148/IJARCCE.2016.54135

Abstract: Cloud Computing has dominated the current era. Ithas been associated with varied areas and has grown tremendously. Resource sharing and effective utilisation of resources is the key to its success. In its journey, cloud has faced several challenges and has overcome many. Load balancing is one such challenge still faced by cloud.The work here depicts methods to achieve load balancing. The objective of this paper is to highlight the role of Hadoop and MapReduce to attain load balancing. The partition strategy is used to achieve load balancing. Hadoop, a Java based open source frame work is capable of storing and processing large data. MapReduce programming model is used to obtain parallel processing.



Keywords: Load Balancing, Partitioning, Hadoop, MapReduce, Scheduling.

How to Cite:

[1] Vibha M B, Dr.R.RajuGondkar, “Smart Load Balancing Algorithm towards Effective Cloud Computing,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.54135