Design of Load Balancing Using Bees Swarm Optimisation In Cloud

  • G. Manikandan, et al.

Abstract

In recent times, the resourceallocation and task scheduling is a vital prospects of cloud
computing. The optimal allocation of resources with load balancing in cloud computing is been a
major challenge in the field of cloud computing. In this paper, we propose an integrated
algorithm for load balanced resource planning to provide effective cloud services. The method
creates a multidimensional resource planning model based in Bees Swarm Optimisation (BSO)
to achieve resource planning efficiency in cloud infrastructure. The user requests are selected
dynamically from the load optimization BSO algorithm designed in a multidimensional manner
that increases the utilization of virtual machines by alancing the loads. The BSO mechanism
improves the cloud functionality experimentally. The results show optimal nature of proposed
cloud framework using BSO algorithm with reduced computational cost, response time and
resource scheduling efficiency.

Published
2020-05-20
How to Cite
et al., G. M. (2020). Design of Load Balancing Using Bees Swarm Optimisation In Cloud. International Journal of Advanced Science and Technology, 29(7), 2595-2603. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/18038
Section
Articles