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Enhancing Load Balancing in Cloud Computing by Ant Colony Optimization Method

Prachi Verma, Sonika Shrivastava, R.K. Pateriya

Affiliations
Department of Computer Science & Engineering, MANIT, Bhopal, 462003, India
:10.22362/ijcert/2017/v4/i6/xxxx [UNDER PROCESS]


Abstract
Cloud computing is an evolving technology which provides users “pay as you go” services on demand. Nowadays there is a tremendous increase in the use of the cloud by the clients due to its attractive features which results in a rapid growth of load on servers. Hence, load balancing has become a matter of concern in the domain of cloud computing. Load balancing is required to distribute the workload equally amongst all nodes in a network so that none of a node is overloaded or underloaded and each node does a similar amount of work in equal time. It minimizes the cost and time involved in the major computational models and helps to improve proper utilization of resources and system performance. Many approaches and algorithms are recommended by various researchers from all over the world to solve the problem of load balancing. In this paper, we present a technique built on Ant Colony optimization to address the issue of load balancing in a cloud environment.


Citation
Prachi Verma, Sonika Shrivastava, & R.K. Pateriya. (2017). Enhancing Load Balancing in Cloud Computing by Ant Colony Optimization Method. International Journal of Computer Engineering In Research Trends, 4(6), 269-276. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I6012.pdf


Keywords : Cloud Computing; Ant colony optimization, Swarm intelligence; Load Balancing;

References
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International Journal of Computer Engineering In Research Trends, 3(7), 371-374. Retrieved from http://ijcert.org/ems/ijcert_papers/3703.pdf


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