Print Email Facebook Twitter On Centrality-Related Disaster Vulnerability of Network Regions Title On Centrality-Related Disaster Vulnerability of Network Regions Author Muhammad Iqbal, M.A.F. (Universiti Teknologi Malaysia) Kuipers, F.A. (TU Delft Embedded Systems) Date 2017 Abstract Networks are typically embedded in non-homogeneous areas and different parts/regions of the network may therefore be at risk from different types of disasters. This non-homogeneity leads to difficulties in protecting the network against (the risk of) disasters. Network operators need to be able to integrate predictions on possible future disaster events in the planning of their network operation. Especially the (future) availability of network links is crucial in configuring network connections, since the requested availability of network connections is stipulated in Service Level Agreements and must be satisfied, even under the threat of disasters. In this paper, we propose (1) a novel model to characterize disaster areas, with occurrences of each type of disaster represented by a temporal distribution (e.g., Poisson process), and (2) two metrics, namely a betweenness-centrality metric for network regions and an impact metric that indicates the magnitude of the threat posed by disasters within a network region during a given time period. Subject MeasurementEathquakesPlanningHurricanesResilienceShapeTsunami To reference this document use: http://resolver.tudelft.nl/uuid:4f21c986-7995-428c-bef5-fb0b51c3d1ab DOI https://doi.org/10.1109/RNDM.2017.8093023 Publisher IEEE ISBN 978-1-5386-0672-8 Source 2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM) Event Resilient Networks Design and Modeling RDNM 2017, 2017-09-04 → 2017-09-06, Alghero, Italy Part of collection Institutional Repository Document type conference paper Rights © 2017 M.A.F. Muhammad Iqbal, F.A. Kuipers Files PDF RNDM2017.pdf 438.76 KB Close viewer /islandora/object/uuid:4f21c986-7995-428c-bef5-fb0b51c3d1ab/datastream/OBJ/view