A hybrid of firefly and improved particle swarm optimization algorithms for load balancing in cloud environments: Performance evaluation

摘要

Cloud environments have been defined in order to provide the effective services and have different advantages but there are encounters some challenges such as load balancing. This paper presents a hybrid of firefly and Improved Particle Swarm Optimization (IPSO) algorithms in order to reach the better average load for making and improving the important metrics such as effective resource utilization and the response time of tasks respectively. This research has been provided some indicators for evaluating the performance of proposed hybrid method too. The results presented the better performance other than similar methods as well as flexible behavior in average load minimization through multi objectives optimization. (C) 2019 Elsevier B.V. All rights reserved.