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Modeling and optimizing periodically inspected software rejuvenation policy based on geometric sequences

Author

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  • Meng, Haining
  • Liu, Jianjun
  • Hei, Xinhong

Abstract

Software aging is characterized by an increasing failure rate, progressive performance degradation and even a sudden crash in a long-running software system. Software rejuvenation is an effective method to counteract software aging. A periodically inspected rejuvenation policy for software systems is studied. The consecutive inspection intervals are assumed to be a decreasing geometric sequence, and upon the inspection times of software system and its failure features, software rejuvenation or system recovery is performed. The system availability function and cost rate function are obtained, and the optimal inspection time and rejuvenation interval are both derived to maximize system availability and minimize cost rate. Then, boundary conditions of the optimal rejuvenation policy are deduced. Finally, the numeric experiment result shows the effectiveness of the proposed policy. Further compared with the existing software rejuvenation policy, the new policy has higher system availability.

Suggested Citation

  • Meng, Haining & Liu, Jianjun & Hei, Xinhong, 2015. "Modeling and optimizing periodically inspected software rejuvenation policy based on geometric sequences," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 184-191.
    • Handle: RePEc:eee:reensy:v:133:y:2015:i:c:p:184-191
    DOI: 10.1016/j.ress.2014.09.007
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    Cited by:

    1. Huixia Huo & Houbao Xu & Zhuoqian Chen, 2022. "Dynamic Analysis of Software Systems with Aperiodic Impulse Rejuvenation," Mathematics, MDPI, vol. 10(2), pages 1-13, January.
    2. Huixia Huo, 2024. "Optimal Corrective Maintenance Policies via an Availability-Cost Hybrid Factor for Software Aging Systems," Mathematics, MDPI, vol. 12(5), pages 1-14, February.
    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.

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