A Fuzzy Based Hybrid Firefly Optimization Technique for Load Balancing in Cloud Datacenters

TLDR: The proposed algorithm aim is to reduce the makespan, response time and cost with minimal energy usage and resource wastage and unveils better performance than existing metaheuristic load balancing algorithms.

Abstract: Cloud computing technology has massive inferences with the use of virtualization technologies. Most of the organizations have incorporated to practice the virtualization strategies to create and operate an effective dynamic data center. The growing maturity of the technologies and utilities of the cloud make the users hasten the adoption of the cloud. The dynamic demanding nature of cloud resources leads to an imbalance in virtual machine utilization and radically increases the energy consumption and operating cost of the data center. In this paper, we propose a fuzzy based hybrid load balancing algorithm for the optimal utilization of virtual machines. The proposed algorithm aim is to reduce the makespan, response time and cost with minimal energy usage and resource wastage. The fuzzy based hybrid optimization approach unveils better performance than existing metaheuristic load balancing algorithms.