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Preventive maintenance policies for a big data system with throughput rate

Author

Listed:
  • Ji Zhang

    (Chongqing University)

  • Hongshuang Feng

    (Nanjing University of Aeronautics and Astronautics)

  • Xiaohui Chen

    (Chongqing University)

Abstract

This paper proposes the generalized maintenance policies for a big data system when the system throughput rate is modelled by the decreasing deterministic function. When failures occur, the big data system experiences one of two types of failures: type I failure (minor failure) that can be removed by a minimal repair or type II failure (catastrophic failure) that must be maintained perfectly. We firstly take up the standard maintenance models in which the big data system is maintained preventively at periodic time T or times of completion for data processing N, respectively. Secondly, we consider that the big data system is maintained before failure at periodic time T or times of completion for data processing N, whichever occurs first/last. Furthermore, we compare all of the maintenance models analytically to find which policy should be selected for the big data system under specific conditions. All theoretical discussions in this paper are made analytically, and finally, numerical examples are illustrated.

Suggested Citation

  • Ji Zhang & Hongshuang Feng & Xiaohui Chen, 2025. "Preventive maintenance policies for a big data system with throughput rate," Annals of Operations Research, Springer, vol. 348(1), pages 421-444, May.
    • Handle: RePEc:spr:annopr:v:348:y:2025:i:1:d:10.1007_s10479-023-05284-8
    DOI: 10.1007/s10479-023-05284-8
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    References listed on IDEAS

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