Grey Wolf Optimized Task Scheduling Algorithm in Cloud Computing

摘要

Cost has become the crucial feature for explaining any type of technology efficiently. It is an important aspect for designing any technology. Cloud computing has become the main stage factor of technology by its behavior. Due to its incredible applications and services, figure of choices are growing with time. Therefore, task scheduling algorithms are needed for better execution of any activity. Scheduling is done by appointment of the activities to the machine to run in a better manner. Nowadays users become greedier by changing their demands frequently with enhancement of the technologies provided through the cloud service provider by fruity organization. There are lots of scheduling algorithms based on some priority/nonpriority mechanism to perform a task. To apply filtering in the selection for best scheduling algorithm, a new technique is proposed based on the nature of grey wolf. Comparative study is also considered in this paper with this new optimizing technique. Evaluation is done based on cost factor. Quality of goodness is calculated by the experiments through CloudSim simulator.