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Research On Fuzzy Scheduling Of Cloud Computing Tasks Based On Hybrid Search Algorithms And Differential Evolution

Author

Listed:
  • MAOZHU JIN

    (Business School, Sichuan University, Chengdu 610065, P. R. China)

  • PENG CHEN

    (�Tobacco Department, Sichuan Branch of China Tobacco Corporation, Chengdu 610225, P. R. China)

  • HUNIDA MALAIKAH

    (��Department of Mathematics, Faculty of Science, King Abdulaziz University, P. O. Box 80203, Jeddah 21589, Saudi Arabia)

  • CHAO CHEN

    (��College of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, P. R. China)

  • YIFENG LIU

    (Business School, Sichuan University, Chengdu 610065, P. R. China)

Abstract

In the process of task scheduling, due to the large search space of resources, it takes a long time to allocate appropriate resources for tasks, which results in the increase of execution time and execution cost of algorithms. For this reason, this paper proposes a cloud computing task fuzzy scheduling strategy based on hybrid search algorithm and differential evolution, which incorporates the classification based on normal distribution and a variety of mutation strategies on the basis of standard differential evolution algorithm. In mutation strategy, the individual difference vector assigns priority to each task and arranges tasks according to resource allocation rules. It improves the slow convergence speed and easy to fall into local optimum of standard difference algorithm, and can effectively solve the task scheduling problem of cloud computing. A cloud computing task scheduling algorithm with time and cost constraints is designed and tested in a simulation environment. The experimental results show that the algorithm can not only shorten the task processing time and reduce the execution cost, but also fully satisfy the users’ actual quality of service requirements by adjusting the weights of time and cost factors.

Suggested Citation

  • Maozhu Jin & Peng Chen & Hunida Malaikah & Chao Chen & Yifeng Liu, 2022. "Research On Fuzzy Scheduling Of Cloud Computing Tasks Based On Hybrid Search Algorithms And Differential Evolution," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(02), pages 1-12, March.
    • Handle: RePEc:wsi:fracta:v:30:y:2022:i:02:n:s0218348x22400837
    DOI: 10.1142/S0218348X22400837
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