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Adopting HLA standard for interdependency study

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  • Nan, Cen
  • Eusgeld, Irene

Abstract

In recent decades, modern Critical Infrastructure (CI) has become increasingly automated and interlinked as more and more resources and information are required to maintain its day-to-day operation. A system failure, or even just a service debilitation, of any CI may have significant adverse effects on other infrastructures it is connected/interconnected with. It is vital to study the interdependencies within and between CIs and provide advanced modeling and simulation techniques in order to prevent or at least minimize these adverse effects. The key limitation of traditional mathematical models such as complex network theory is their lacking the capabilities of providing sufficient insights into interrelationships between CIs due to the complexities of these systems. A comprehensive method, a hybrid approach combining various modeling/simulation techniques in a distributed simulation environment, is presented in this paper. High Level Architecture (HLA) is an open standard (IEEE standard 1516) supporting simulations composed of different simulation components, which can be regarded as the framework for implementing such a hybrid approach. The concept of adopting HLA standard for the interdependency study is still under discussion by many researchers. Whether or not this HLA standard, or even the distributed simulation environment, is able to meet desired model/simulation requirements needs to be carefully examined.

Suggested Citation

  • Nan, Cen & Eusgeld, Irene, 2011. "Adopting HLA standard for interdependency study," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 149-159.
  • Handle: RePEc:eee:reensy:v:96:y:2011:i:1:p:149-159
    DOI: 10.1016/j.ress.2010.08.002
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    References listed on IDEAS

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    1. Setola, Roberto & De Porcellinis, Stefano & Sforna, Marino, 2009. "Critical infrastructure dependency assessment using the input–output inoperability model," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(4), pages 170-178.
    2. Bompard, Ettore & Napoli, Roberto & Xue, Fei, 2009. "Analysis of structural vulnerabilities in power transmission grids," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(1), pages 5-12.
    3. Eusgeld, Irene & Kröger, Wolfgang & Sansavini, Giovanni & Schläpfer, Markus & Zio, Enrico, 2009. "The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 954-963.
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    Cited by:

    1. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    2. 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.
    3. Eusgeld, Irene & Nan, Cen & Dietz, Sven, 2011. "“System-of-systems†approach for interdependent critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 679-686.
    4. Zhou, Shenghua & Yang, Yifan & Ng, S. Thomas & Xu, J. Frank & Li, Dezhi, 2020. "Integrating data-driven and physics-based approaches to characterize failures of interdependent infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    5. Zhang, Jianhua & Song, Bo & Zhang, Zhaojun & Liu, Haikuan, 2014. "An approach for modeling vulnerability of the network of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 127-136.
    6. Wang, Shuliang & Hong, Liu & Chen, Xueguang, 2012. "Vulnerability analysis of interdependent infrastructure systems: A methodological framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3323-3335.
    7. Wang, Shuliang & Zhang, Jianhua & Zhao, Mingwei & Min, Xu, 2017. "Vulnerability analysis and critical areas identification of the power systems under terrorist attacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 156-165.
    8. Nan, Cen & Sansavini, Giovanni, 2015. "Multilayer hybrid modeling framework for the performance assessment of interdependent critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 10(C), pages 18-33.
    9. Ahmed Ali A. Mohamed, 2019. "On the Rising Interdependency between the Power Grid, ICT Network, and E-Mobility: Modeling and Analysis," Energies, MDPI, vol. 12(10), pages 1-17, May.
    10. Wang, Shuliang & Lv, Wenzhuo & Zhao, Longfeng & Nie, Sen & Stanley, H. Eugene, 2019. "Structural and functional robustness of networked critical infrastructure systems under different failure scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 476-487.

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