Probability-Based Analysis to Determine the Performance of Multilevel Feedback Queue Scheduling
Journal: International Journal of Advanced Networking and Applications (Vol.8, No. 03)Publication Date: 2016-11-28
Authors : Shweta Jain; Saurabh Jain;
Page : 3044-3069
Keywords : Markov chain model; Multi-level feedback queue scheduling; Process queue; Process scheduling; Transition probability matrix;
Abstract
Operating System may work on different types of CPU scheduling algorithms with different mechanism and concepts. The Multilevel Feedback Queue (MLFQ) Scheduling manages a variety of processes among various queues in a better and efficient manner. CPU scheduler appears transition mechanism over various queues. This paper is presented with various schemes of under a probability-based model. The scheduler has random movement over queues with given time quantum. This paper designs general transition model for its functioning and justifying comparison under different scheduling schemes through a simulation study applied on different data sets in particular cases.
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Last modified: 2016-12-30 20:07:28