Survey and analysis on task scheduling in cloud environment

Abstract

Objectives: In cloud environment many scheduling algorithms are available to achieve the quality of service, but the scalability of task execution increases, scheduling becomes more complex. So there is a need for better scheduling. This paper deals with the survey of dynamic scheduling, different classification and scheduling algorithms currently used in cloud providers. Analysis: This paper focuses on a comparative study of static and dynamic task scheduling currently used and various researchers work on dynamic task scheduling for many applications. Findings: Scheduling methods/techniques used by various cloud service providers, advantages and limitations of each method are discussed. Scheduling algorithms in cloud setup in each paper is analyzed. Application: Analyzing task scheduling in cloud environment, uniform standard can be applied for all cloud providers. Online scheduling and dynamic scheduling can be further improved.