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Data backup policies with failure-oblivious computing in reliability theory

Author

Listed:
  • Xu-Feng Zhao

    (Nanjing University of Aeronautics and Astronautics)

  • Dong Wang

    (Nanjing University of Aeronautics and Astronautics)

  • Satoshi Mizutani

    (Aichi Institute of Technology)

  • Toshio Nakagawa

    (Aichi Institute of Technology)

Abstract

In-memory database systems are becoming an efficient technology to achieve the goal of high throughput rate and low latency time, however, they are more vulnerable than disk-based database systems due to the feature of their running carriers, so that it becomes a critical problem to design data backup and recovery policies to prevent memory failures for in-memory database management systems. From this viewpoint, this paper firstly describes the stochastic processes of bulk-data update, triggers of failure-oblivious computing and in-memory database failure, and then model the expected cost rates for data backup and recovery when full backups are implemented at time T and at bulk-data update N, respectively. In order to compare the policies of T and N, integrated models of the backup policies implemented at time T and at bulk-data update N are studied, using the triggering approaches of first and last in maintenance theory. Furthermore, the policies of T and N are reconsidered when full backup is planned at the completion of the forthcoming bulk-data update. In addition, a cumulative cost of failure-oblivious computing is considered in the modified backup policies. All of the expected cost rates and their optimum policies of full backups are obtained in analytical ways.

Suggested Citation

  • Xu-Feng Zhao & Dong Wang & Satoshi Mizutani & Toshio Nakagawa, 2025. "Data backup policies with failure-oblivious computing in reliability theory," Annals of Operations Research, Springer, vol. 348(1), pages 117-146, May.
  • Handle: RePEc:spr:annopr:v:348:y:2025:i:1:d:10.1007_s10479-022-04941-8
    DOI: 10.1007/s10479-022-04941-8
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    References listed on IDEAS

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    1. Toshio Nakagawa, 2014. "Random Maintenance Policies," Springer Series in Reliability Engineering, Springer, edition 127, number 978-1-4471-6575-0, July.
    2. Xufeng Zhao & Mingchih Chen & Toshio Nakagawa, 2022. "Periodic replacement policies with shortage and excess costs," Annals of Operations Research, Springer, vol. 311(1), pages 469-487, April.
    3. Mingchih Chen & Xufeng Zhao & Toshio Nakagawa, 2019. "Replacement policies with general models," Annals of Operations Research, Springer, vol. 277(1), pages 47-61, June.
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