Priority based fair scheduling : Enhancing efficiency in cloud job distribution

Murad, Saydul Akbar and Zafril Rizal, M. Azmi and Brishti, Faria Jerin and Saib, Md and Bairagi, Anupam Kumar (2023) Priority based fair scheduling : Enhancing efficiency in cloud job distribution. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 170-175. (192961). ISBN 979-835031093-1

	Pdf Priority based fair scheduling_Enhancing efficiency in cloud.pdf Restricted to Repository staff only Download (3MB) | Request a copy
Preview	Pdf Priority based fair scheduling_Enhancing efficiency in cloud job distribution_ABS.pdf Download (877kB) | Preview

Abstract

In recent years, there has been a growing interest in cloud computing as a means to enhance user access to shared computing resources, including software and hardware, through the internet. However, the efficient utilization of these cloud resources has been a challenge, often resulting in wastage or degraded service performance due to inadequate scheduling. To overcome this challenge, numerous researchers have focused on improving existing Priority Rule (PR) cloud schedulers by developing dynamic scheduling algorithms, but they have fallen short of meeting user satisfaction. In this study, we introduce a new PR scheduler called Priority Based Fair Scheduling (PBFS), which takes into account key parameters such as CPU Time, Job Arrival Time, and Job Length. We evaluate the performance of PBFS by comparing it with five existing algorithms, and the results demonstrate that PBFS surpasses the performance of the other algorithms. The experiment was conducted using the CloudSim simulator, utilizing a dataset of 300 and 400 jobs. In order to assess the performance, three key metrics were employed: flow time, makespan time, and total tardiness. These metrics were chosen to evaluate and analyze the effectiveness of the proposed scheduling algorithm.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Cloud computing; Flow time; Job scheduling; Makespan time; PBFS; Priority rule
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	16 Apr 2024 04:10
Last Modified:	16 Apr 2024 04:10
URI:	http://umpir.ump.edu.my/id/eprint/40333
Download Statistic:	View Download Statistics

Actions (login required)

View Item