Publisher : International Journal of Pure and Applied Mathematics
Source : International Journal of Pure and Applied Mathematics (IJPAM), Vol.119, Issue. 10, 2018.
Url : https://acadpubl.eu/jsi/2018-119-10/articles/10a/42.pdf
Year : 2018
Abstract : loud Computing is a rising zone in the field of Information Technology (IT). It delivers the service through the internet on a pay per use basis. Virtualization is the central technology in cloud computing, which permits the sharing of physical resources.Major problems faced in the cloud framework are resource finding, fault tolerance, load balancing, and security. The significant concentration and challenge of cloud computing is Load Balancing, that distributes application traffic across a cluster of servers to guarantee that no single node is encumbered thus permitting effective resource usage. There exist many load balancing algorithms which help to achieve better throughput and response time in a cloud environment. Here we are focusing on Honeybee Foraging Algorithm. Currently, the HBFA algorithm works by selecting the VM randomly. We are proposing an alteration in the selection procedure of the VMs in HBFA algorithm along with the Proactive Fault Tolerance to prevent the unexpected termination during the execution.
Cite this Research Publication : Arathi R, Aiswarya Vijayakumar and Mahesh A S, "An Effective Load Balancing Mechanism in Cloud Computing Using Modified HBFA Along with the Preemptive Migration Technique", International Journal of Pure and Applied Mathematics (IJPAM), Vol.119, Issue. 10, 2018.