Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm
This work addresses CPU scheduling efficiency for multiprogramming systems, but it is incremental as it builds on existing fuzzy methods.
The paper tackled the problem of selecting an optimal CPU scheduling algorithm by designing a modified fuzzy-based approach with new fuzzy rules, resulting in improved average waiting time and average turnaround time.
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.