Performance analysis on Optimal Criteria for Task Scheduling Algorithms in Cloud Environments

摘要

This paper focuses on the consideration of various optimization criteria forsolving task scheduling' problems in cloud environments. In past, several optimization techniques have been implemented. But most of these methods are time-consuming and takes a lot of search space to obtain a solution for task scheduling. Generally, two objectives have been considered with minimization of makespan and very few are dealt with less processing cost during task scheduling. However, it is noticed that the developed algorithm comprises a number of tuning parameters which leads the mathematical complexity and takes more search space while implementation. This paper demonstrates the possible number of objectives that can be treated to solve task scheduling problems.