Universal Reliability Bounds for Sparse Networks

Romero, Pablo

Resumen:

Consider a graph with perfect nodes and edges subject to independent random failures with identical probability.The all-terminal reliability (ATR) is the probability that the resulting subgraph is connected. First, we fully characterize uniformly least reliable graphs (ULRG) whose co-rank is not greater than four. Universal reliability bounds are here introduced for those graphs. It is formally proved that ULRG are invariant under bridge-contractions, and maximize the number of bridges among all connected simple graphs with a prescribed number of nodes and edges. A closed-form for the maximum number of bridges is also given, which has an intrinsic interest from a graphtheoretic point of view. Finally, the cost-reliability trade-off is discussed, comparing the number of edges required to reduce the reliability gaps between the least and most reliable graphs. A remarkable conclusion is that the network design is critical under rare event failures, where the reliability-gap between least and most-reliable networks is monotonically increasing with the number of terminals


Detalles Bibliográficos
2021
Agencia Nacional de Investigación e Innovación
All-Terminal Reliability
Reliability Bounds
Uniformly Most Reliable Graphs
Uniformly Least Reliable Graphs
Ciencias Naturales y Exactas
Matemáticas
Matemática Aplicada
Inglés
Agencia Nacional de Investigación e Innovación
REDI
https://hdl.handle.net/20.500.12381/648
Acceso abierto
Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
_version_ 1814959259937406976
author Romero, Pablo
author_facet Romero, Pablo
author_role author
bitstream.checksum.fl_str_mv 3c9d86d36485746409b4281a0893d729
c3cc3ff17937d434ae70a7cee1524107
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/648/2/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/648/1/10%20%281%29.pdf
collection REDI
dc.creator.none.fl_str_mv Romero, Pablo
dc.date.accessioned.none.fl_str_mv 2022-10-19T20:22:55Z
dc.date.available.none.fl_str_mv 2022-10-19T20:22:55Z
dc.date.issued.none.fl_str_mv 2021-03-17
dc.description.abstract.none.fl_txt_mv Consider a graph with perfect nodes and edges subject to independent random failures with identical probability.The all-terminal reliability (ATR) is the probability that the resulting subgraph is connected. First, we fully characterize uniformly least reliable graphs (ULRG) whose co-rank is not greater than four. Universal reliability bounds are here introduced for those graphs. It is formally proved that ULRG are invariant under bridge-contractions, and maximize the number of bridges among all connected simple graphs with a prescribed number of nodes and edges. A closed-form for the maximum number of bridges is also given, which has an intrinsic interest from a graphtheoretic point of view. Finally, the cost-reliability trade-off is discussed, comparing the number of edges required to reduce the reliability gaps between the least and most reliable graphs. A remarkable conclusion is that the network design is critical under rare event failures, where the reliability-gap between least and most-reliable networks is monotonically increasing with the number of terminals
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación
dc.identifier.anii.es.fl_str_mv FCE_1_2019_1_156693
dc.identifier.doi.none.fl_str_mv 10.1109/TR.2021.3061075
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/648
dc.language.iso.none.fl_str_mv eng
dc.publisher.es.fl_str_mv IEEE
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.license.none.fl_str_mv Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:REDI
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.anii.none.fl_str_mv Ciencias Naturales y Exactas
Matemáticas
Matemática Aplicada
dc.subject.es.fl_str_mv All-Terminal Reliability
Reliability Bounds
Uniformly Most Reliable Graphs
Uniformly Least Reliable Graphs
dc.title.none.fl_str_mv Universal Reliability Bounds for Sparse Networks
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es.fl_str_mv Enviado
dc.type.version.none.fl_str_mv info:eu-repo/semantics/submittedVersion
description Consider a graph with perfect nodes and edges subject to independent random failures with identical probability.The all-terminal reliability (ATR) is the probability that the resulting subgraph is connected. First, we fully characterize uniformly least reliable graphs (ULRG) whose co-rank is not greater than four. Universal reliability bounds are here introduced for those graphs. It is formally proved that ULRG are invariant under bridge-contractions, and maximize the number of bridges among all connected simple graphs with a prescribed number of nodes and edges. A closed-form for the maximum number of bridges is also given, which has an intrinsic interest from a graphtheoretic point of view. Finally, the cost-reliability trade-off is discussed, comparing the number of edges required to reduce the reliability gaps between the least and most reliable graphs. A remarkable conclusion is that the network design is critical under rare event failures, where the reliability-gap between least and most-reliable networks is monotonically increasing with the number of terminals
eu_rights_str_mv openAccess
format article
id REDI_bd84f5aa06995171a992fc2b410e6807
identifier_str_mv FCE_1_2019_1_156693
10.1109/TR.2021.3061075
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
language eng
network_acronym_str REDI
network_name_str REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/648
publishDate 2021
reponame_str REDI
repository.mail.fl_str_mv jmaldini@anii.org.uy
repository.name.fl_str_mv REDI - Agencia Nacional de Investigación e Innovación
repository_id_str 9421
rights_invalid_str_mv Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
Acceso abierto
spelling Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)Acceso abiertoinfo:eu-repo/semantics/openAccess2022-10-19T20:22:55Z2022-10-19T20:22:55Z2021-03-17https://hdl.handle.net/20.500.12381/648FCE_1_2019_1_15669310.1109/TR.2021.3061075Consider a graph with perfect nodes and edges subject to independent random failures with identical probability.The all-terminal reliability (ATR) is the probability that the resulting subgraph is connected. First, we fully characterize uniformly least reliable graphs (ULRG) whose co-rank is not greater than four. Universal reliability bounds are here introduced for those graphs. It is formally proved that ULRG are invariant under bridge-contractions, and maximize the number of bridges among all connected simple graphs with a prescribed number of nodes and edges. A closed-form for the maximum number of bridges is also given, which has an intrinsic interest from a graphtheoretic point of view. Finally, the cost-reliability trade-off is discussed, comparing the number of edges required to reduce the reliability gaps between the least and most reliable graphs. A remarkable conclusion is that the network design is critical under rare event failures, where the reliability-gap between least and most-reliable networks is monotonically increasing with the number of terminalsAgencia Nacional de Investigación e InnovaciónengIEEEAll-Terminal ReliabilityReliability BoundsUniformly Most Reliable GraphsUniformly Least Reliable GraphsCiencias Naturales y ExactasMatemáticasMatemática AplicadaUniversal Reliability Bounds for Sparse NetworksArtículoEnviadoinfo:eu-repo/semantics/submittedVersioninfo:eu-repo/semantics/articleUniversidad de la RepúblicaUniversidad de Buenos Aires//Ciencias Naturales y Exactas/Matemáticas/Matemática Aplicadareponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónRomero, PabloLICENSElicense.txtlicense.txttext/plain; charset=utf-84944https://redi.anii.org.uy/jspui/bitstream/20.500.12381/648/2/license.txt3c9d86d36485746409b4281a0893d729MD52ORIGINAL10 (1).pdf10 (1).pdfIEEE - Transactions on Reliabilityapplication/pdf316098https://redi.anii.org.uy/jspui/bitstream/20.500.12381/648/1/10%20%281%29.pdfc3cc3ff17937d434ae70a7cee1524107MD5120.500.12381/6482022-10-19 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://www.anii.org.uy/https://redi.anii.org.uy/oai/requestjmaldini@anii.org.uyUruguayopendoar:94212022-10-19T20:22:57REDI - Agencia Nacional de Investigación e Innovaciónfalse
spellingShingle Universal Reliability Bounds for Sparse Networks
Romero, Pablo
All-Terminal Reliability
Reliability Bounds
Uniformly Most Reliable Graphs
Uniformly Least Reliable Graphs
Ciencias Naturales y Exactas
Matemáticas
Matemática Aplicada
status_str submittedVersion
title Universal Reliability Bounds for Sparse Networks
title_full Universal Reliability Bounds for Sparse Networks
title_fullStr Universal Reliability Bounds for Sparse Networks
title_full_unstemmed Universal Reliability Bounds for Sparse Networks
title_short Universal Reliability Bounds for Sparse Networks
title_sort Universal Reliability Bounds for Sparse Networks
topic All-Terminal Reliability
Reliability Bounds
Uniformly Most Reliable Graphs
Uniformly Least Reliable Graphs
Ciencias Naturales y Exactas
Matemáticas
Matemática Aplicada
url https://hdl.handle.net/20.500.12381/648