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2019 | OriginalPaper | Buchkapitel

Micro Failure Region Models Inducing Massive Correlated Failures on Networks Topologies

verfasst von : Nicolás A. Boettcher, Yasmany Prieto, Jorge E. Pezoa

Erschienen in: Information Technology in Disaster Risk Reduction

Verlag: Springer International Publishing

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Abstract

Natural 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 different 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 opera- tor to define 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.

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Titel: Micro Failure Region Models Inducing Massive Correlated Failures on Networks Topologies
verfasst von: Nicolás A. Boettcher
Yasmany Prieto
Jorge E. Pezoa
Verlag: Springer International Publishing
Buch: Information Technology in Disaster Risk Reduction
Print ISBN: 978-3-030-32168-0

Electronic ISBN: 978-3-030-32169-7

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-32169-7_10

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