Hybrid of Ant Colony Optimization and Gravitational Emulation Based Load Balancing Strategy in Cloud Computing
نویسندگان
چکیده
1M.Tech. Scholar, Department of Computer Science & Applications, Kurukshetra University, Haryana, India 2Assistant Professor, Department of Computer Science & Applications, Kurukshetra University, Haryana, India -------------------------------------------------------------------------***-----------------------------------------------------------------------AbstractThe distributed architecture of cloud computing set up the resources distributively for delivering the services to cloud consumers. In this paper, a novel hybrid ACO and gravitation emulation based strategy considering load balancing has been implemented for solving the load balancing issue in cloud environment efficiently. Moreover, this hybrid ACO-GELS algorithm uses the physics concept of gravitational attraction between objects. GELS algorithm is powerful for local search in searching space. CloudSim has been used as a simulation tool for proposed hybrid load balancing strategy. The proposed ACO-GELS algorithm has been compared with the existing GA-GELS algorithm. It has been compared on the basis of three important factors of load balancing: resource utilization, makespan and load balancing level.
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