Abstract
One problem in Round Robin CPU Scheduling is that if the time required for the running process is slightly more than time quantum even by a fraction value, then process gets preempted and context switch occurs. This causes more waiting time for that process and more overheads due to unnecessary context switch. Another problem with RR scheduling is the value of time Quantum. If it is too large, RR algorithm degenerate to FCFS and if it is too short frequent context switches occurs which results into more overheads which in turn degrade the performance. In this work a Fuzzy Round Robin scheduling algorithm has been proposed that tries to remove these two problems using fuzzy technique. Simulation has been done to compare the performance of this algorithm with its non fuzzy counterpart.
Highlights
When a computer is multiprogrammed, it has several processes competing for the CPU at the same time
One problem in Round Robin CPU Scheduling is that if the time required for the running process is slightly more than time quantum even by a fraction value, process gets preempted and context switch occurs
This causes more waiting time for that process and more overheads due to unnecessary context switch. Another problem with RR scheduling is the value of time Quantum
Summary
When a computer is multiprogrammed, it has several processes competing for the CPU at the same time. Sceduling algorithm should try to (i)maximize CPU utilization and throughput, (ii)to minimize turnaround time, waiting time and response time and (iii)to avoid starvation of any process (Silberschatz et al, 2008; Andrew and Albert, 2006). Priority: In Priority Scheduling algorithm the process with highest priority is scheduled for execution (Silberschatz et al, 2008; Andrew and Albert, 2006; Stallings, 2008). Another problem with RR scheduling is the value of time Quantum If it is too large, RR algorithm degenerate to FCFS and if it is too short frequent context switches occurs which results into more overheads which in turn degrade the performance. In this work an algorithm using fuzzy logic has been proposed that tries to remove these two problems
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