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A Comparative Study of Different Load Balancing Algorithms in Cloud Computing

Mody University International Journal of Computing and Engineering Research

Volume 1 Issue 1

Published: 2017
Author(s) Name: Divya Rani Mittal, Manmohan Sharma | Author(s) Affiliation: Dept. of Comp. Science and Engg., Mody Univer. of Scie. & Tech., Rajasthan, India.
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Abstract

Cloud computing is very popular because of the features it provides. It has changed the field of parallel and distributed computing system today. It is very much in use because of the features it provides like pay per usage, resource sharing, rapid elasticity, broad network access etc. Along with many advantages, cloud computing comes with many challenges. Load balancing is one of the biggest challenges of cloud computing. If not handled properly, it leads to degradation of business performance. For handling load balancing many algorithms have been proposed such as Min-Min, Max-Min, Genetic Algorithm, Honey Bee etc. In this paper we have performed a brief review of some of load balancing techniques along with their merits and demerits.

Keywords: Cloud computing, load balancing algorithms, comparitive study

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