An Optimization Algorithm for Task Scheduling in Cloud Computing Based on Multi-Purpose Cuckoo Seek Algorithm

摘要

Cloud computing is used for providing as well as handling the services over the internet. The scheduling issue in cloud surroundings is NP-hard problem. The existing Cuckoo search provides some arranging criteria which details the major difficulties of process scheduling in the cloud. In this paper, we suggested a wizard known as Multi-Purpose Cuckoo Seek Algorithm (MPCSA) to schedule the tasks in Cloud processing. The main Purpose of MPCSA is to reduce the make span (overall completion time) period and also improve the source usage. Sources are assigned effectively in the cloud processing. We conduct experiments with Cloud sim (with surpass) to evaluate MPCSA. Simulation results show that our MPCSA algorithm can work efficiently compared with PSO and CSA.