Optimizing CPU Scheduling for Real Time Applications Using Mean-Difference Round Robin (MDRR) Algorithm
This paper proposes a novel approach called Mean-Difference Round Robin Algorithm, which is meant for optimizing CPU scheduling for real time applications. The proposed algorithm calculates the mean burst time of all the processes in the ready queue. Next, it finds out the difference between a process burst time and calculated mean burst time. This step is repeated for all the processes in the ready queue. Then, the proposed algorithm find out the process having the largest difference value and assigns it to CPU, and execute it for one time slice. Once the time slice of the process expires, the next process with the largest difference value is picked up from the ready queue and executed for one time slice. The process is repeated for all the processes in the ready queue. The experimental results of the proposed algorithm have been compared with other standard scheduling algorithms and the proposed Mean-Difference Round Robin Algorithm is found to have produced optimum scheduling.
KeywordsCPU Scheduler Burst Time Waiting Time Turnaround Time Gantt chart Pre-emptive Scheduling non Pre-emptive Scheduling Round Robin MDRR
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