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Designing of Vague Logic Based 2-Layered Framework for CPU Scheduler
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Fuzzy based CPU scheduler has become of great interest by operating system because of its ability to handle imprecise information associated with task.
This paper introduces an extension to the fuzzy based round robin scheduler to a Vague Logic Based Round Robin (VBRR) scheduler.
VBRR scheduler works on 2-layered framework.
At the first layer, scheduler has a vague inference system which has the ability to handle the impreciseness of task using vague logic.
At the second layer, Vague Logic Based Round Robin (VBRR) scheduling algorithm works to schedule the tasks.
VBRR scheduler has the learning capability based on which scheduler adapts intelligently an optimum length for time quantum.
An optimum time quantum reduces the overhead on scheduler by reducing the unnecessary context switches which lead to improve the overall performance of system.
The work is simulated using MATLAB and compared with the conventional round robin scheduler and the other two fuzzy based approaches to CPU scheduler.
Given simulation analysis and results prove the effectiveness and efficiency of VBRR scheduler.
American Psychological Association (APA)
Raheja, Supriya. 2016. Designing of Vague Logic Based 2-Layered Framework for CPU Scheduler. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095023
Modern Language Association (MLA)
Raheja, Supriya. Designing of Vague Logic Based 2-Layered Framework for CPU Scheduler. Advances in Fuzzy Systems No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1095023
American Medical Association (AMA)
Raheja, Supriya. Designing of Vague Logic Based 2-Layered Framework for CPU Scheduler. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095023