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Modified Round Robin CPU Scheduling: A Fuzzy Logic-Based Approach

In: Applications of Operational Research in Business and Industries

Author

Listed:
  • Rajeev Sharma

    (A.S. (PG) College)

  • Atul Kumar Goel

    (A.S. (PG) College)

  • M. K. Sharma

    (Chaudhary Charan Singh University)

  • Nitesh Dhiman

    (Chaudhary Charan Singh University)

  • Vishnu Narayan Mishra

    (Indira Gandhi National Tribal University)

Abstract

Multiprogramming plays an essential role more effectively in resources utilization. In the context of multiprogramming, CPU scheduling plays a key role. Several algorithms have already been introduced to achieve the objectives of CPU scheduling. Among these, Round Robin is one of the important CPU scheduling algorithms, but time quantum and unnecessary context switching increase the waiting time, response time, and turnaround time in the scheduling of processes in this algorithm. In this work, we planned a new procedure based on fuzzy logic method to overcome the drawbacks of Round Robin scheduling policy in order to optimize the waiting time, response time, and turnaround time. We modified the Round Robin algorithm to improve the effectiveness of CPU scheduling in a multiprogramming environment. We also compared the outcome of proposed algorithm with exiting scheduling algorithms like; Round Robin and FCFS. We also gave the future aspects along with the particle application and limitations of proposed fuzzy Round Robin technique.

Suggested Citation

  • Rajeev Sharma & Atul Kumar Goel & M. K. Sharma & Nitesh Dhiman & Vishnu Narayan Mishra, 2023. "Modified Round Robin CPU Scheduling: A Fuzzy Logic-Based Approach," Lecture Notes in Operations Research, in: Angappa Gunasekaran & Jai Kishore Sharma & Samarjit Kar (ed.), Applications of Operational Research in Business and Industries, chapter 0, pages 367-383, Springer.
    • Handle: RePEc:spr:lnopch:978-981-19-8012-1_24
    DOI: 10.1007/978-981-19-8012-1_24
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