2012/03/10 by Supriya Raheja, Raheja, Supriya, Reena Dadhich +3
Computer Science · #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Other Computer Science (cs.OH) #Parallel Computing and Optimization Techniques #cs.OH
paper · pdf · doi:10.48550/arxiv.1203.2247
International Journal of Soft Computing, Feb 2012
arxiv created 2012/03/10 · openalex publication_date 2012/03/10 · arxiv updated 2012/03/13 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
In Round Robin CPU scheduling algorithm the main concern is with the size of time quantum and the increased waiting and turnaround time. Decision for these is usually based on parameters which are assumed to be precise. However, in many cases the values of these parameters are vague and imprecise. The performance of fuzzy logic depends upon the ability to deal with Linguistic variables. With this intent, this paper attempts to generate an Optimal Time Quantum dynamically based on the parameters which are treated as Linguistic variables. This paper also includes Mamdani Fuzzy Inference System using Trapezoidal membership function, results in LRRTQ Fuzzy Inference System. In this paper, we present an algorithm to improve the performance of round robin scheduling algorithm. Numerical analysis based on LRRTQ results on proposed algorithm show the improvement in the performance of the system by reducing unnecessary context switches and also by providing reasonable turnaround time.