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Joint optimal checkpointing and rejuvenation policy for real-time computing tasks

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  • Levitin, Gregory
  • Xing, Liudong
  • Luo, Liang

Abstract

Performance of a software system can deteriorate from higher to lower levels due to software aging. To counteract the aging effect, software rejuvenation is widely implemented to restore the performance of a degraded system before the system crash actually takes place. To facilitate an effective system function restoration after each rejuvenation action, it is desirable to apply checkpointing to occasionally save the system state on a reliable storage so that the mission task can be resumed from the last saved checkpoint (instead of being restarted from the very beginning). As both rejuvenation and checkpointing procedures incur system overhead while bringing these benefits, it is significant to determine the optimal rejuvenation and checkpointing scheduling policy optimizing the system performance measures of interest. This paper makes new contributions by modeling and optimizing the joint maintenance policy involving state-based rejuvenation and periodic checkpointing schedule for software systems performing real-time computing tasks. The system can undergo multiple performance degradation levels or states, and transition time between different states can assume arbitrary types of distributions. The proposed solution methodology encompasses an efficient numerical algorithm for evaluating the probability of task completion (PTC) by a pre-specified deadline. The joint optimal rejuvenation and checkpointing policy is further determined to maximize the PTC of the considered real-time task. Examples are provided to illustrate applications of the proposed methodology as well as effects of system parameters on the optimization solution.

Suggested Citation

  • Levitin, Gregory & Xing, Liudong & Luo, Liang, 2019. "Joint optimal checkpointing and rejuvenation policy for real-time computing tasks," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 63-72.
    • Handle: RePEc:eee:reensy:v:182:y:2019:i:c:p:63-72
    DOI: 10.1016/j.ress.2018.10.006
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    References listed on IDEAS

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    1. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2018. "Heterogeneous 1-out-of-N warm standby systems with online checkpointing," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 127-136.
    2. Levitin, Gregory & Xing, Liudong & Ben-Haim, Hanoch, 2018. "Optimizing software rejuvenation policy for real time tasks," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 202-208.
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    Cited by:

    1. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2020. "Cost minimization of real-time mission for software systems with rejuvenation," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Wen, Tao & Deng, Yong, 2020. "The vulnerability of communities in complex networks: An entropy approach," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    3. Tadashi Dohi & Hiroyuki Okamura & Cun-Hua Qian, 2022. "Computation algorithms for workload-dependent optimal checkpoint placement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 788-796, June.
    4. Levitin, Gregory & Xing, Liudong & Huang, Hong-Zhong, 2019. "Optimization of partial software rejuvenation policy," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 289-296.
    5. Junjun Zheng & Hiroyuki Okamura & Tadashi Dohi, 2021. "Availability Analysis of Software Systems with Rejuvenation and Checkpointing," Mathematics, MDPI, vol. 9(8), pages 1-15, April.
    6. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2020. "Optimizing software rejuvenation policy for tasks with periodic inspections and time limitation," Reliability Engineering and System Safety, Elsevier, vol. 197(C).

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