Comprehensive Study of Task Scheduling in Cloud Computing

The basic concept of cloud computing is based on centralized storage where service provider maintains the distributed data centers’ computation. So sometimes cloud computing is also called as On-Demand Computing. It is basically an amplified form of client-server, cluster and grid computing. The efficiency and performance of cloud computing services are dependent upon the task submitted by cloud users. Task Scheduling is one of the most essential factors which is responsible for incrementing the performance and efficiency of cloud computing environment by through the maximization of resource utilization. This paper covers the study of different task scheduling algorithms used in cloud computing for the achievement of factors such as quality of services, performance and minimal usage of execution time. This paper aims to describe the comparison of different job scheduling techniques with respect to different parameters like response time, execution time, load balance and timespan of job to discover the best and most efficient task scheduling algorithm with respect to these parameters. In this paper tabular form is used for comparison of the different scheduling algorithms in order to find the best algorithm.