ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


NOVEL APPROACH FOR REAL TIME TASK SCHEDULING USING ADAPTIVE NEURO FUZZY SCHEDULER


Abstract

Abstract: - In a real time system contained various type of scheduling algorithms. They are used for determine which processes should be executed by the CPU when there are different processes to be executed. Adaptive Neuro fuzzy logic approaches are very effective for scheduling real time task. This paper presents scheduling algorithm of real time task using adaptive Neuro fuzzy scheduler. Then, discuss features of adaptive neuro fuzzy system. We proposed adaptive neuro fuzzy scheduler using EDF to overcome the drawbacks of other algorithms for better scheduler performance of real time task scheduling.
Real time systems (RTS) are defence and space systems, networked multimedia systems, embedded automotive electronics, mobile computing, etc. RTS is system that must satisfy explicit (bounded) response time constraints or risk server’s consequences, including failure. In other word a real time system is any information processing activity or system which has to response to externally generated input within a finite and specified period. In real time system the correctness of the system behaviour of the computations, but also on the physical instant at which these results are produced.
Keywords— Neuro fuzzy logic, EDF, scheduler, task, process.

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Paper Submission Open For September 2020
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