This paper is published in Volume-5, Issue-6, 2019
Area
Computer Science and Engineering
Author
Rabinder Kaur, Arshdeep Kaur
Org/Univ
Swami Sarvanand Institute of Engineering and Technology, Dinanagar, Punjab, India
Pub. Date
30 December, 2019
Paper ID
V5I6-1291
Publisher
Keywords
QoS, Cloud Computing, Min Min algorithm, MIPS, Granularity Size, CloudSim, Task scheduling

Citationsacebook

IEEE
Rabinder Kaur, Arshdeep Kaur. Efficient job scheduling algorithm based on weighted average priority in cloud computing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rabinder Kaur, Arshdeep Kaur (2019). Efficient job scheduling algorithm based on weighted average priority in cloud computing. International Journal of Advance Research, Ideas and Innovations in Technology, 5(6) www.IJARIIT.com.

MLA
Rabinder Kaur, Arshdeep Kaur. "Efficient job scheduling algorithm based on weighted average priority in cloud computing." International Journal of Advance Research, Ideas and Innovations in Technology 5.6 (2019). www.IJARIIT.com.

Abstract

In cloud computing, the issue of the scheduling of job is the greatest and testing issue. There are numerous algorithms for scheduling available that are utilized in the environment of cloud computing for better resource scheduling. Scheduling is assigning fundamentally number of resources to the tasks in a manner that there will be maximum utilization of resource, minimum time for total processing and minimum time of waiting. The basic aim of this paper is to study and analyze the various scheduling algorithms in cloud computing, to develop an improved task scheduling using QoS parameters of Virtual machines and priorities of the task based on the deadline, to compare the results of the proposed scheduling technique with the existing multi-objective task Scheduling technique. The proposed methodology is implemented with the help of Cloudsim and NetbeansIDE8.0. CloudSim is the library that provides the simulation environment of cloud computing and also provides primary classes describing virtual machines, data centers, users and applications.