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Overview of Reliability and Vulnerability in Critical Infrastructure

In: Critical Infrastructure

Author

Listed:
  • Alan T. Murray

    (The Ohio State University)

  • Tony H. Grubesic

    (Indiana University)

Abstract

The concept of interconnection is an important one for a wide range of social, economic and political issues. Broadly defined, interconnection refers to a state of reciprocal connection. In this context, two or more interconnected entities can exchange ideas, currency, information and other valuable goods with each other, often for mutual benefit. For example, telecommunication backbone providers frequently interconnect at points of presence (POPs) or Internet exchanges (IXs) in order to accommodate peering relationships between large networks or to provide data transit for smaller systems. One obvious benefit accrued through this type of practice is extending the geographic reach of each backbone involved with the interconnection arrangement, providing access to new markets and potential customers. Over time, these interconnections can strengthen or decline, depending on the benefits acquired through interconnectivity. If the relationship between entities strengthens significantly, the condition of interdependency can emerge. In this context, the entities involved require the reliable operation of their interconnected partner(s) to function properly. If the relationship between entities weakens significantly, connections may be disbanded.

Suggested Citation

  • Alan T. Murray & Tony H. Grubesic, 2007. "Overview of Reliability and Vulnerability in Critical Infrastructure," Advances in Spatial Science, in: Alan T. Murray & Tony H. Grubesic (ed.), Critical Infrastructure, chapter 1, pages 1-8, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-68056-7_1
    DOI: 10.1007/978-3-540-68056-7_1
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    Citations

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    Cited by:

    1. López, Fernando A. & Páez, Antonio & Carrasco, Juan A. & Ruminot, Natalia A., 2017. "Vulnerability of nodes under controlled network topology and flow autocorrelation conditions," Journal of Transport Geography, Elsevier, vol. 59(C), pages 77-87.
    2. Robertson, Lindsay J., 2010. "From societal fragility to sustainable robustness: Some tentative technology trajectories," Technology in Society, Elsevier, vol. 32(4), pages 342-351.
    3. Yates, Justin & Sanjeevi, Sujeevraja, 2013. "A length-based, multiple-resource formulation for shortest path network interdiction problems in the transportation sector," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(2), pages 107-119.
    4. Ting Lei & Daoqin Tong, 2013. "Hedging against service disruptions: an expected median location problem with site-dependent failure probabilities," Journal of Geographical Systems, Springer, vol. 15(4), pages 491-512, October.
    5. Md Shahab Uddin & Pennung Warnitchai, 2020. "Decision support for infrastructure planning: a comprehensive location–allocation model for fire station in complex urban system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1475-1496, July.
    6. Bobbio, A. & Bonanni, G. & Ciancamerla, E. & Clemente, R. & Iacomini, A. & Minichino, M. & Scarlatti, A. & Terruggia, R. & Zendri, E., 2010. "Unavailability of critical SCADA communication links interconnecting a power grid and a Telco network," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1345-1357.

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