• DocumentCode
    719359
  • Title

    Finding geographic vulnerabilities in multilayer networks using reduced network state enumeration

  • Author

    Gardner, M. Todd ; May, Rebecca ; Beard, Cory ; Medhi, Deep

  • Author_Institution
    Comput. Sci. & Electr. Eng. Dept., Univ. of Missouri-Kansas City, Kansas City, MO, USA
  • fYear
    2015
  • fDate
    24-27 March 2015
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    Despite advancements in the analysis of networks with respect to geographic vulnerabilities, very few approaches exist that can be applied to large networks with varied applications and network measures. Natural and man-made disasters as well as major political events (like riots) have kept the challenges of geographic failures in networks in the forefront. With the increasing interest in multilayer and virtual networks, methods to analyze these networks for geographic vulnerabilities are important. In this paper, we present a state space analysis method that analyzes multilayer networks for geographic vulnerabilities. It uses either the inability to provision an upper layer service and/or increased costs to provision as the criteria for network failure. Mapping techniques for multilayer network states are presented. Simplifying geographic state mapping techniques to reduce enumeration costs are also presented and tested. Finally, these techniques are tested on small and extremely large networks.
  • Keywords
    disasters; emergency management; emergency services; network theory (graphs); reliability; geographic failure; geographic state mapping technique; geographic vulnerabilities; man made disasters; multilayer network failure; natural disasters; reduced network state enumeration; state space analysis method; virtual network; Algorithm design and analysis; Communication networks; Measurement; Nonhomogeneous media; Reliability engineering; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design of Reliable Communication Networks (DRCN), 2015 11th International Conference on the
  • Conference_Location
    Kansas City, MO
  • Type

    conf

  • DOI
    10.1109/DRCN.2015.7148984
  • Filename
    7148984