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Design and Performance Evaluation of Smart Job First Multilevel Feedback Queue (SJFMLFQ) Scheduling Algorithm with Dynamic Smart Time Quantum

Author

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  • Amit Kumar Gupta

    (Suresh Gyan Vihar University, Jaipur, India)

  • Narendra Singh Yadav

    (JECRC University, Jaipur, India)

  • Dinesh Goyal

    (Suresh Gyan Vihar University, Jaipur, India)

Abstract

Multilevel feedback queue scheduling (MLFQ) algorithm is based on the concept of several queues in which a process moves. In earlier scenarios there are three queues defined for scheduling. The two higher level queues are running on Round Robin scheduling and last level queue is running on FCFS (First Come First Serve). A fix time quantum is defined for RR scheduling and scheduling of process depends upon the arrival time in ready queue. Previously a lot of work has been done in MLFQ. In our propose algorithm Smart Job First Multilevel feedback queue (SJFMLFQ) with smart time quantum (STQ), the processes are arranged in ascending order of their CPU execution time and calculate a Smart Priority Factor SPF on which processes are scheduled in queue. The process which has lowest SPF value will schedule first and the process which has highest SF value will schedule last in queue. Then a smart time quantum (STQ) is calculated for each queue. As a result, we found decreasing in turnaround time, average waiting time and increasing throughput as compared to the previous approaches and hence increase in the overall performance.

Suggested Citation

  • Amit Kumar Gupta & Narendra Singh Yadav & Dinesh Goyal, 2017. "Design and Performance Evaluation of Smart Job First Multilevel Feedback Queue (SJFMLFQ) Scheduling Algorithm with Dynamic Smart Time Quantum," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 8(2), pages 50-64, April.
    • Handle: RePEc:igg:jmdem0:v:8:y:2017:i:2:p:50-64
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