Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm

TL;DR

This paper introduces a modified fuzzy-based CPU scheduling algorithm that employs new fuzzy rules to improve scheduling efficiency, specifically targeting reductions in average waiting and turnaround times.

Contribution

It presents a novel set of fuzzy rules for CPU scheduling, enhancing existing fuzzy algorithms with improved performance metrics.

Findings

Reduced average waiting time

Lowered average turnaround time

Demonstrated effectiveness of new fuzzy rules

Abstract

CPU Scheduling is the base of multiprogramming. Scheduling is a process which decides order of task from a set of multiple tasks that are ready to execute. There are number of CPU scheduling algorithms available, but it is very difficult task to decide which one is better. This paper discusses the design and implementation of modified fuzzy based CPU scheduling algorithm. This paper present a new set of fuzzy rules. It demonstrates that scheduling done with new priority improves average waiting time and average turnaround time.