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Applied Computational Intelligence and Soft Computing
Volume 2014, Article ID 341957, 12 pages
http://dx.doi.org/10.1155/2014/341957
Research Article

2-Layered Architecture of Vague Logic Based Multilevel Queue Scheduler

1Department of Computer Science & Engineering, ITM University, Gurgaon, India
2Department of Computer Science, University of Kota, Near Kabir Circle, MBS Marg, Swami Vivekanand Nagar, Kota, Rajasthan 324 005, India
3Alpha Global IT, 1262 Don Mills Road, Toronto, ON, Canada M3B 2W7

Received 28 July 2014; Revised 10 September 2014; Accepted 22 September 2014; Published 9 October 2014

Academic Editor: Baoding Liu

Copyright © 2014 Supriya Raheja et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In operating system the decisions which CPU scheduler makes regarding the sequence and length of time the task may run are not easy ones, as the scheduler has only a limited amount of information about the tasks. A good scheduler should be fair, maximizes throughput, and minimizes response time of system. A scheduler with multilevel queue scheduling partitions the ready queue into multiple queues. While assigning priorities, higher level queues always get more priorities over lower level queues. Unfortunately, sometimes lower priority tasks get starved, as the scheduler assures that the lower priority tasks may be scheduled only after the higher priority tasks. While making decisions scheduler is concerned only with one factor, that is, priority, but ignores other factors which may affect the performance of the system. With this concern, we propose a 2-layered architecture of multilevel queue scheduler based on vague set theory (VMLQ). The VMLQ scheduler handles the impreciseness of data as well as improving the starvation problem of lower priority tasks. This work also optimizes the performance metrics and improves the response time of system. The performance is evaluated through simulation using MatLab. Simulation results prove that the VMLQ scheduler performs better than the classical multilevel queue scheduler and fuzzy based multilevel queue scheduler.