dc.date.accessioned | 2022-05-20T20:45:26Z | |
dc.date.accessioned | 2022-10-19T00:41:47Z | |
dc.date.available | 2022-05-20T20:45:26Z | |
dc.date.available | 2022-10-19T00:41:47Z | |
dc.date.created | 2022-05-20T20:45:26Z | |
dc.date.issued | 2018 | |
dc.date.issued | 2018 | |
dc.identifier | http://hdl.handle.net/10533/253934 | |
dc.identifier | 1160559 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4485086 | |
dc.description.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 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.language | eng | |
dc.relation | 3° | |
dc.relation | IFIP Conference on Information Technology in Disaster Risk Reduction - ITDRR | |
dc.relation | instname: ANID | |
dc.relation | reponame: Repositorio Digital RI2.0 | |
dc.rights | http://creativecommons.org/licenses/by/3.0/cl/ | |
dc.title | Micro failure region models inducing massive correlated failures on network topologies | |