2018 10th International Workshop on Resilient Networks Design and Modeling (RNDM) 2018
DOI: 10.1109/rndm.2018.8489836
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Vulnerable Regions of Networks on Sphere

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Cited by 5 publications
(5 citation statements)
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References 17 publications
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“…In [8,24,25], the authors use SRLG for modelling in order to enhance the preparedness of a given network to natural disasters, or regional failures. For example, a regional SRLG aims to characterize a failure damaging the network only in a bounded geographical area.…”
Section: Related Workmentioning
confidence: 99%
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“…In [8,24,25], the authors use SRLG for modelling in order to enhance the preparedness of a given network to natural disasters, or regional failures. For example, a regional SRLG aims to characterize a failure damaging the network only in a bounded geographical area.…”
Section: Related Workmentioning
confidence: 99%
“…Inequality (8) ensures that at least one path is selected for each pair demand/SRLG event. Note that a single path is selected for optimal solutions due to the minimization objective.…”
Section: Column Generation Approachmentioning
confidence: 99%
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“…This paper is an extension of , which is, to the best of our knowledge, the first study on enumerating regional SRLG lists in a spherical model. Also, in , the first comparison of the spherical and planar representations was provided. It is shown through examples that precise polynomial algorithms could be designed for spherical representation of the networks.…”
Section: Introductionmentioning
confidence: 99%
“…We also believe that using our approach, resilient routing and network design results can be further enhanced. Compared to the conference version of our paper , we have (1) included Section 4.2 presenting approximate algorithms on enumerating the maximal failures induced by arbitrary disaster shapes, (2) provided an enhanced mathematical analysis of algorithms presented Sections 4.1 and 4.2, and (3) in Section 5 added simulation results showing that the difference between the planar and spherical representations of the network can result in different SRLG lists even in case of networks having a geographic extension as small as 100km.…”
Section: Introductionmentioning
confidence: 99%