Quantitative and qualitative network robustness analysis under different multiple failure scenarios

Marc Manzano, E. Calle, David Harle

Research output: Contribution to conferencePaper

6 Citations (Scopus)

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.
Original languageEnglish
Pages1-7
Number of pages8
Publication statusPublished - 5 Oct 2011
Event3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011 - Girona, Spain
Duration: 5 Oct 2011 → …

Conference

Conference3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011
CountrySpain
CityGirona
Period5/10/11 → …

Keywords

  • complex networks
  • robustness metrics
  • impairments

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  • Cite this

    Manzano, M., Calle, E., & Harle, D. (2011). Quantitative and qualitative network robustness analysis under different multiple failure scenarios. 1-7. Paper presented at 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011 , Girona, Spain.