Task Scheduling in Cloud Computing Environment by Grey Wolf Optimizer

Abstract

Cloud computing is an emerging computer technology, that provides distributed, scalable, elastic computer resources to the end-user over the Internet. One of the most challenging tasks in the cloud computing environment is task scheduling. The main objectives of the task scheduling are to identify the appropriate resources for scheduling a specific task on time, utilize the resources more efficiently, and reduce the total completion time of all input tasks to be executed. The task scheduling problem belongs to the class NP-hard. Since metaheuristic algorithms are proven to be efficient in the NP hard optimization, in this paper, we propose a task scheduling algorithm using metaheuristics approach. The proposed scheduler is based on the grey wolf optimizer nature-inspired algorithm. The experimental results prove the quality and robustness of the proposed method.