IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Adaptive Fuzzy-Based Two-Layered HRRN CPU Scheduler: FHRRN

An Adaptive Fuzzy-Based Two-Layered HRRN CPU Scheduler: FHRRN
View Sample PDF
Author(s): Supriya Raheja (Amity University, Noida, India)
Copyright: 2022
Volume: 11
Issue: 1
Pages: 20
Source title: International Journal of Fuzzy System Applications (IJFSA)
Editor(s)-in-Chief: Deng-Feng Li (School of Management and Economics, University of Electronic Science and Technology of China (UESTC))
DOI: 10.4018/IJFSA.285557

Purchase

View An Adaptive Fuzzy-Based Two-Layered HRRN CPU Scheduler: FHRRN on the publisher's website for pricing and purchasing information.

Abstract

Fuzzy Based CPU scheduler becomes an emerging component of an operating system. It can handle the imprecise nature of parameters used in scheduler. This paper introduces an adaptive fuzzy based Highest Response Ratio Next CPU scheduler which is an extension of conventional CPU scheduler. Proposed scheduler works in 2 layers. At the first layer, a Fuzzy Inference System is defined which handles the uncertainties of parameters and at the second layer, an adaptive scheduling algorithm is used to schedule each task. Proposed scheduler intelligently generates the response ratio for each ready to run task which makes the system adaptive at run time. The work is compared with the conventional highest response ratio next scheduling and the existing fuzzy highest ratio next scheduling algorithms. Results validate the better performance of proposed scheduler. The proposed scheduler also provides comparable results with respect to shortest job first scheduling and shortest remaining task first scheduling algorithms.

Related Content

Shuqin Zhang, Peiyu Shi, Tianhui Du, Xinyu Su, Yunfei Han. © 2024. 27 pages.
Li Liao. © 2024. 16 pages.
Jinming Zhou, Yuanyuan Zhan, Sibo Chen. © 2024. 29 pages.
Huaping Luo. © 2024. 16 pages.
Julan Chen, Wengao Qian. © 2024. 15 pages.
G. Manikandan, Reuel Samuel Sam, Steven Frederick Gilbert, Karthik Srikanth. © 2024. 16 pages.
Liangqun Yang. © 2024. 17 pages.
Body Bottom