Genetic Algorithm Based Scheduling To Reduce Energy Consumption In Cloud
Paridhi Naithani · 2018
Cloud computing is one of the emerging computer technology. It is an internet based technology and provides shared resources like databases, storage, servers, softwares to the users as per their demand. Users then pay according to the usage. There are various aspects which influence the system performance and scheduling is one of them. So there is a need of an coherent scheduling algorithm that can enhance the overall performance. Scheduling algorithms mainly emphasize on completion time, cost and makespan. Furthermore there are many heuristic based algorithms for scheduling but it is observed that genetic algorithm converges faster and gives optimal results. In this research an efficient scheduling approach is introduced which focus on reduction of energy consumption. The overall energy which is consumed is determined by resource utilization. The scheduling policy is based on genetic algorithm. The proposed approach assigns the task to virtual machine according to the utilization so that overall energy consumption is minimized. Comparison is made between FCFS and the proposed approach. The experiment results show that our approach has reduced the energy consumption with respect to FCFS.