Honey Bee Behavior Based Load Balancing of Tasks in Cloud Computing
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

Honey Bee Behavior Based Load Balancing of Tasks in Cloud Computing

Harshit Gupta, Kalicharan Sahu

Cloud computing has recently emerging technology getting popular day by day having wide scope in future. Cloud computing is defined as a large scale distributed computing paradigm that is driven by economics of scale in which a pool of ed virtualized energetically. The number of users in cloud computing is growing exponentially. Large number of user requests tries to designate the resources for many applications which along with to high load not far afield off from cloud server. Whenever certain VMs are overloaded then no more tasks should be send to overloaded virtual machine if under loaded virtual machines are available. For optimize solution and better response time the load has to be balanced among overloaded and under loaded virtual machines. In this paper; an algorithm is proposed named honey bee behavior based load balancing (HBB-LB) ; which targets to achieve well balanced load across virtual machine. The experimental results show that the algorithm has many advantages over existing algorithms. There is improvement in average execution time and reduction in waiting time of tasks. The paper also describes briefly about other existing load balancing approaches.

Keywords: Honey Bee, Load Balancing, Cloud Computing, Honey Bee Foraging Behavior, Virtual Machine Scheduling

Edition: Volume 3 Issue 6, June 2014

Pages: 842 - 846

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How to Cite this Article?

Harshit Gupta, Kalicharan Sahu, "Honey Bee Behavior Based Load Balancing of Tasks in Cloud Computing", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2014366, Volume 3 Issue 6, June 2014, 842 - 846

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