dc.date.accessioned2022-05-20T20:45:26Z
dc.date.accessioned2022-10-19T00:41:47Z
dc.date.available2022-05-20T20:45:26Z
dc.date.available2022-10-19T00:41:47Z
dc.date.created2022-05-20T20:45:26Z
dc.date.issued2018
dc.date.issued2018
dc.identifierhttp://hdl.handle.net/10533/253934
dc.identifier1160559
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4485086
dc.description.abstractNatural disasters, depending on both how many occur concurrently and their size, may produce large-scale correlated failures in data network infrastructure. These failures may cause service interruptions due to disconnections of nodes in the network. Proper fault modeling is crucial to calculate network damage, determine which data paths will remain active between a pair of nodes, and thus maintain a resilient network. While in the literature di erent sizes of circular shapes are used to model fault regions, in this work a new fault model is proposed. The model adjusts to the granularity level established by the network operator to de ne the size and number of concurrent fault regions. Equipped with the failure model, it is possible to observe, through disjoint paths problem, the advantages of using micro failure region models to mitigate false positive failures associated when macro failure region is used. Keywords: telecommunications network · correlated failures · disjoint paths · micro failure region · threat model · geolocated failures
dc.languageeng
dc.relation
dc.relationIFIP Conference on Information Technology in Disaster Risk Reduction - ITDRR
dc.relationinstname: ANID
dc.relationreponame: Repositorio Digital RI2.0
dc.rightshttp://creativecommons.org/licenses/by/3.0/cl/
dc.titleMicro failure region models inducing massive correlated failures on network topologies


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