Study and analysis of various task scheduling algorithms in the cloud computing environment

Abstract

Cloud computing is a novel perspective for large scale distributed computing and parallel processing. It provides computing as a utility service on a pay per use basis. The performance and efficiency of cloud computing services always depends upon the performance of the user tasks submitted to the cloud system. Scheduling of the user tasks plays significant role in improving performance of the cloud services. Task scheduling is one of the main types of scheduling performed. This paper presents a detailed study of various task scheduling methods existing for the cloud environment. A brief analysis of various scheduling parameters considered in these methods is also discussed in this paper.

Research on Heuristic Based Load Balancing Algorithms in Cloud Computing

“…In [7], a detailed description for load balancing methods in task level is given. In [8], a novel load balancing mechanism in VM level is given.…”

A relative study of task scheduling algorithms in cloud computing environment

“…Several scheduling parameters are considered in different scheduling algorithms [4]. In this section, we will discuss these parameters for comparison of Task Scheduling algorithms.…”

Energy Efficient Heuristic Base Job Scheduling Algorithms in Cloud Computing

“…Based upon the work done in [9] classification of task scheduling is done as in the distributed environment the scheduling method composes of Heuristic and Hybrid Technique. Heuristic method performs the Static and Dynamic Scheduling.…”

“… Job scheduler: It is responsible to decide execution order of the user jobs by selecting the optimal scheduling strategy [9].  Job waiting queue: It holds number of jobs which are waiting to get assigned on a particular machine to get executed [9].…”

“…The various fundamental components for cloud computing scenario are described below:  Computing entity: All the Virtual Machines providing the computing facilities like operating system, software etc. is present in the cloud system environment to execute the user submitted jobs [9].  Job scheduler: It is responsible to decide execution order of the user jobs by selecting the optimal scheduling strategy [9].…”