An Optimal Approach to Load Balancing in Cloud Computing Based On Comparative Study and Analysis
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015 | Popularity: 6.2 / 10


     

An Optimal Approach to Load Balancing in Cloud Computing Based On Comparative Study and Analysis

Kushagra Jaiswal, Navneet Kaur, Mohit Sharma


Abstract: Cloud Computing is the latest paradigm in the vast and rapidly expanding computing and Information Technology industry. Cloud computing refers to the practice of using a large number of remote servers that are connected over a network and hosted over the internet to provide various computing facilities as a service. Over the past few years, cloud computing has emerged to be one of the most promising technologies in the IT industry, due to which there is huge competition among the service providers for facilitating the resources at minimal cost without compromising with the performance. This leads to the need of delivering the resources in an optimal way such that the clients may access them seamlessly. There are a number of load balancing techniques that have the capability of distributing the load among the various server systems. In this paper, various load balancing techniques of cloud computing are compared and an effective and highly optimized approach is suggested to minimize the load and hence provide maximum resource utilization.


Keywords: Cloud Computing, Load Balancing, Ant Colony algorithm, HPAC, metrics


Edition: Volume 4 Issue 4, April 2015


Pages: 222 - 226



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Kushagra Jaiswal, Navneet Kaur, Mohit Sharma, "An Optimal Approach to Load Balancing in Cloud Computing Based On Comparative Study and Analysis", International Journal of Science and Research (IJSR), Volume 4 Issue 4, April 2015, pp. 222-226, https://www.ijsr.net/getabstract.php?paperid=SUB152540, DOI: https://www.doi.org/10.21275/SUB152540

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