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TSoSRA: A task-oriented resilience assessment framework for system-of-systems

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  • Xu, Renjie
  • Liu, Jiahao
  • Li, Jichao
  • Yang, Kewei
  • Zio, Enrico

Abstract

System-of-systems (SoS) are inevitably subject to disturbances during task execution, and resilience is a key factor for SoS damage and recovery. System-of-systems resilience (SoSR) assessment holds significant value in optimizing SoS architecture and completing tasks. However, identifying the most resilient SoS among different ones for the same task is a basic but challenging question. This paper proposes a task-oriented SoSR assessment framework (TSoSRA) to identify the most resilient SoS. First, we use a heterogeneous information network and meta-path to describe a SoS network architecture composed of different subsystems and the SoS performance model is developed, based on node and link quality. Based on this model, a system-of-system resilience metric (SoSRM) is proposed to describe the ability of the SoS to recover quickly dealing with disruption. Then, we extend further this metric to consider the impact of mitigation measures that exist in practical scenarios. Finally, we demonstrate the feasibility and effectiveness of TSoSRA through a case study, offering valuable insights to enhance network security, improve SoS reliability and design a more resilient SoS.

Suggested Citation

  • Xu, Renjie & Liu, Jiahao & Li, Jichao & Yang, Kewei & Zio, Enrico, 2024. "TSoSRA: A task-oriented resilience assessment framework for system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:reensy:v:248:y:2024:i:c:s095183202400259x
    DOI: 10.1016/j.ress.2024.110186
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    References listed on IDEAS

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    1. Watson, Bryan C & Morris, Zack B & Weissburg, Marc & Bras, Bert, 2023. "System of system design-for-resilience heuristics derived from forestry case study variants," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. Naseh Moghanlou, Lida & Di Maio, Francesco & Zio, Enrico, 2024. "Probabilistic scenario analysis of integrated road-power infrastructures with hybrid fleets of EVs and ICVs," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    3. Sun, Qin & Li, Hongxu & Zhong, Yuanfu & Ren, Kezhou & Zhang, Yingchao, 2024. "Deep reinforcement learning-based resilience enhancement strategy of unmanned weapon system-of-systems under inevitable interferences," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    4. Uday, Payuna & Chandrahasa, Rakshit & Marais, Karen, 2019. "System Importance Measures: Definitions and Application to System-of-Systems Analysis," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    5. Woods, David D., 2015. "Four concepts for resilience and the implications for the future of resilience engineering," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 5-9.
    6. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Erratum: Universal resilience patterns in complex networks," Nature, Nature, vol. 536(7615), pages 238-238, August.
    7. Ilalokhoin, Ohis & Pant, Raghav & Hall, Jim W., 2023. "A model and methodology for resilience assessment of interdependent rail networks – Case study of Great Britain's rail network," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    8. Zhong, Yuanfu & Li, Hongxu & Sun, Qin & Huang, Zhiwen & Zhang, Yingchao, 2024. "A kill chain optimization method for improving the resilience of unmanned combat system-of-systems," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    9. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Universal resilience patterns in complex networks," Nature, Nature, vol. 530(7590), pages 307-312, February.
    10. Castresana, Joseba & Gabiña, Gorka & Quincoces, Iñaki & Uriondo, Zigor, 2023. "Healthy marine diesel engine threshold characterisation with probability density functions and ANNs," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    11. Dong, Shangjia & Gao, Xinyu & Mostafavi, Ali & Gao, Jianxi & Gangwal, Utkarsh, 2023. "Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    12. Sun, Qin & Li, Hongxu & Wang, Yuzhi & Zhang, Yingchao, 2022. "Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    13. Chen, Zhiwei & Hong, Dongpao & Cui, Weiwei & Xue, Weikang & Wang, Yao & Zhong, Jilong, 2023. "Resilience evaluation and optimal design for weapon system of systems with dynamic reconfiguration," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    14. Payuna Uday & Karen Marais, 2015. "Designing Resilient Systems‐of‐Systems: A Survey of Metrics, Methods, and Challenges," Systems Engineering, John Wiley & Sons, vol. 18(5), pages 491-510, October.
    15. Filippini, Roberto & Silva, Andrés, 2014. "A modeling framework for the resilience analysis of networked systems-of-systems based on functional dependencies," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 82-91.
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