Parameter Investigation Study On Task Scheduling in Cloud Computing

Abstract

The term parameter investigation study is to describe the process of examining different factors that have an effect on the efficiency of work scheduling algorithms in cloud computing. Some examples of such factors are the amount of time allotted for each work, the number of available processors, the amount of resources being used, the amount of communication overhead, and the deadline limitations. For optimal resource utilisation and timely completion of tasks, cloud computing relies heavily on task scheduling. Since metaheuristic optimisation algorithms can quickly and efficiently identify near-optimal solutions in huge and complex problem spaces, they have become a popular method for scheduling tasks on the cloud. In this study, we examine how metaheuristic optimisation algorithms can be used to schedule tasks in the cloud. In addition, a fair research was conducted on a wide range of cloud computing task scheduling parameters.