Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Quantitative and qualitative network robustness analysis under different multiple failure scenarios

Manzano, Marc and Calle, E. and Harle, David (2011) Quantitative and qualitative network robustness analysis under different multiple failure scenarios. In: 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011, 2011-10-05.

Full text not available in this repository. (Request a copy from the Strathclyde author)


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.