Open AccessArtificial intelligence based Parameter Optimization Technique for selection of Optimal Real-Time Scheduling Algorithm
Author(s) -
Ajitesh Kumar,
Mona Kumari
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1116/1/012121
Subject(s) - computer science , scheduling (production processes) , fair share scheduling , dynamic priority scheduling , rate monotonic scheduling , selection (genetic algorithm) , algorithm , mathematical optimization , artificial intelligence , mathematics , quality of service , computer network
In Modern days, real time system plays an important role in our modern and digital society. The success of any real time application is totally depending upon the selection of optimal scheduling algorithm. In real time application every task should have the nature of deadlines and time when they arrived, on the basis of these parameters we observe the response time of different scheduling algorithm then we select the optimal algorithm for a particular application. So in this paper our aim is to reduce the complexity of real time system researcher for selection of scheduling algorithm for a particular application. This artificial intelligence based approach is an extent the state of any real time system in the area of scheduling. This approach works in any uni-processor system. Introduction