Improved Hyper-Heuristic Scheduling with Load-Balancing and RASA for Cloud Computing Systems
Geetinder kaur, Sarabjit Kaur · International Journal of Grid and Distributed Computing · 2016
Nowadays cloud computing has turned into a key innovation and has become a great solution for indulging a flexible utility oriented , online allocation and storage of computing resources and client's information in lower expense, oninterest and dynamically scalable framework on pay per use premise.This technology is a new pattern emerging in IT environment with immense necessities of framework and resources.Job Scheduling Problem is an essential issue.For efficient usage and managing resources, administrations, scheduling plays a critical role.This paper apportion the performance enhancement of Hyper-Heuristic Scheduling Approach to schedule cloudlets and resources, by taking account of both , computation time and transmission cost with two detection operators.Load Balancing and RASA concept is applied for efficient Load Scheduling, resource utilization and thereby enhancing the overall performance of cloud computing environment.The numerical investigations of HHSA were performed on CloudSim.Experimental results generated via simulation shows that enhanced heuristic scheduling approach is much better than individual heuristic approach in terms of minimizing makespan time.