Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing

Abstract The cloud computing systems are sorts of shared collateral structure which has been in demand from its inception. In these systems, clients able to access existing services based on their needs and without knowing where the service is located how it delivered, only pay for used. Like other there challenges system. Because a wide array variety available this system, can be said that issue scheduling and, course, energy consumption essential challenge Therefore, should properly provided users, minimizes both cost provider consumer consumption, requires use an optimal algorithm. paper, we present two-step hybrid method tasks aware time called Genetic Algorithm Energy-Conscious Scheduling Heuristic Algorithm. first step involves prioritizing tasks, second consists assigning processor. We prioritized generated primary chromosomes, used model, energy-conscious assign As simulation results show, demonstrate proposed algorithm outperform methods.