A Broker Policy for Cloud Environment Using Hybrid Soft Computing Technique

Avinash Kumar Sharma (Research Scholar, Department of Computer Science & Engineering Uttarakhand Technical University Dehradun India); Nitin Nitin (Indian Institute of Management Shillong, India)

Broker policy is the critical decision factor for the cloud computing environment. During this process, the broker allocates the cloudlets to the different datacenter. In this paper, we have considered the four strategies for the allocation of cloudlets to the datacenter. The broker allocation policies under consideration are round robin, Bee colony optimisation, and genetic learning and particle swarm algorithm based allocation and finally the Enhanced genetic learning based Particle swarm optimisation technique is designed and tested for the performance. The Enhanced genetic learning based particle swarm optimisation is found to be fastest in getting the job done whereas the round robin algorithm is slowest among the four algorithms. The Enhanced genetic learning based particle swarm optimisation technique is showing the improvement of 10% over the other soft computing technique.

Journal: International journal of simulation: systems, science & technology V18

Published: Dec 30, 2017

DOI: 10.5013/IJSSST.a.18.04.17