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Cost minimization of real-time mission for software systems with rejuvenation

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  • Levitin, Gregory
  • Xing, Liudong
  • Xiang, Yanping

Abstract

This paper considers the optimal rejuvenation policy problem for software systems performing real-time tasks. Due to software aging, the system performance deteriorates with time eventually leading to the system crash, which can be catastrophic for critical applications. To prevent the system crash or minimize its occurrence probability, software rejuvenation has been widely adopted for counteracting the software aging effect but at the cost of extra system overhead and downtime. We derive the optimal state-based rejuvenation policy minimizing the total expected mission cost for software aging systems subject to multiple performance degradation states. The solution encompasses an event transition-based numerical method that assesses the total expected mission cost of a real-time task, covering penalty cost from the mission failure, operation cost of running the mission software and the expected rejuvenation cost. The proposed cost evaluation model can accommodate arbitrary types of state transition time distributions. The suggested model also allows simultaneous evaluations of other system performance metrics including the probability of the successful task completion (i.e., mission reliability) and conditional expected mission completion time given a successful mission task. Examples are presented to demonstrate the proposed methodology and optimizations. Effects of different parameters on the rejuvenation optimization solution are also investigated.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019303503
    DOI: 10.1016/j.ress.2019.106593
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    References listed on IDEAS

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    1. Machida, Fumio & Miyoshi, Naoto, 2017. "Analysis of an optimal stopping problem for software rejuvenation in a deteriorating job processing system," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 128-135.
    2. Dohi, Tadashi & Zheng, Junjun & Okamura, Hiroyuki & Trivedi, Kishor S., 2018. "Optimal periodic software rejuvenation policies based on interval reliability criteria," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 463-475.
    3. 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.
    4. 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.
    5. 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.
    6. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2014. "Cold vs. hot standby mission operation cost minimization for 1-out-of-N systems," European Journal of Operational Research, Elsevier, vol. 234(1), pages 155-162.
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    Cited by:

    1. Khastgir, Siddartha & Brewerton, Simon & Thomas, John & Jennings, Paul, 2021. "Systems Approach to Creating Test Scenarios for Automated Driving Systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. 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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