• DocumentCode
    556151
  • Title

    Quantitative and qualitative network robustness analysis under different multiple failure scenarios

  • Author

    Manzano, M. ; Calle, E. ; Harle, D.

  • Author_Institution
    Inst. of Inf. & Applic. (IIiA), Univ. of Girona, Girona, Spain
  • fYear
    2011
  • fDate
    5-7 Oct. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Society depends now more strongly than ever on large-scale networks. Failures of great significance have occurred in the last years. Thus, it has become of vital importance to define robustness metrics. Classical robustness analysis has been focused on the evaluation of topological characteristics. In this paper we extend this analysis introducing two new robustness metrics that include traffic service requirements: QuaNtitative Robustness Metric (QNRM) and QuaLitative Robustness Metric (QLRM). A review of some well known graph robustness metrics is provided. In order to compare these metrics with the proposals, a set of six topologies (random, small-world and scale-free) is evaluated. Finally, it is shown that our two new metrics are able to evaluate the performance of a network under a given kind of impairment.
  • Keywords
    telecommunication network topology; telecommunication traffic; graph robustness metrics; large scale networks; multiple failure scenarios; qualitative network robustness analysis; quantitative network robustness analysis; topological characteristics; traffic service requirements; Eigenvalues and eigenfunctions; Measurement; Network topology; Robustness; Strontium; Topology; Complex networks; Impairments; Robustness metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011 3rd International Congress on
  • Conference_Location
    Budapest
  • ISSN
    2157-0221
  • Print_ISBN
    978-1-4577-0682-0
  • Type

    conf

  • Filename
    6078852