Link-level vulnerability indicators for real-world networks |
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Authors: | Victor L Knoop Maaike Snelder Henk J van Zuylen Serge P Hoogendoorn |
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Institution: | 1. Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands;2. TNO, Netherlands Organization for Applied Scientific Research, Van Mourik Broekmanweg 6, 2628 XE Delft, The Netherlands |
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Abstract: | It is computationally expensive to find out where vulnerable parts in a network are. In literature a variety of methods were introduced that use simple indicators (measured in real-life or calculated in a traffic simulator) to pre-determine the seriousness of the delays caused by the blocking of that link and thereafter perform a more detailed analysis. This article reviews the indicators proposed in the literature and assesses the quality of these indicators. Furthermore, a multi-linear fit of the indicators is made to find a better, combined, indicator to rank the links according to their vulnerability. The article shows that different indicators assess different links to be vulnerable. Also combined they cannot predict the vulnerability of a link. Therefore, it is concluded that to find vulnerable links, one has to look further than link-based indicators. |
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