Measuring the survivability of networks to geographic correlated failures

Detalhes bibliográficos
Autor(a) principal: Long, Xuelian
Data de Publicação: 2014
Outros Autores: Tipper, David, Gomes, Teresa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/47603
https://doi.org/Xuelian Long, David Tipper, Teresa Gomes, Measuring the survivability of networks to geographic correlated failures, Optical Switching and Networking, Volume 14, Part 2, 2014, Pages 117-133, ISSN 1573-4277, https://doi.org/10.1016/j.osn.2014.05.004.
https://doi.org/10.1016/j.osn.2014.05.004
Resumo: Wide area backbone communication networks are subject to a variety of hazards that can result in network component failures. Hazards such as power failures and storms can lead to geographical correlated failures. Recently there has been increasing interest in determining the ability of etworks to survive geographic correlated failures and a number of measures to quantify the effects of failures have appeared in the literature. This paper proposes the use of weighted spectrum to evaluate network survivability regarding geographic correlated failures. Further we conduct a comparative analysis by finding the most vulnerable geographic cuts or nodes in the network though solving an optimization problem to determine the cut with the largest impact for a number of measures in the literature as well as weighted spectrum. Numerical results on several sample network topologies show that the worst-case geographic cuts depend on the measure used in an unweighted or a weighted graph. The proposed weighted spectrum measure is shown to be more versatile than other measures in both unweighted and weighted graphs.
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spelling Measuring the survivability of networks to geographic correlated failuresNetwork survivabilityGeographic correlated vulnerabilitiesWeighted spectrumWide area backbone communication networks are subject to a variety of hazards that can result in network component failures. Hazards such as power failures and storms can lead to geographical correlated failures. Recently there has been increasing interest in determining the ability of etworks to survive geographic correlated failures and a number of measures to quantify the effects of failures have appeared in the literature. This paper proposes the use of weighted spectrum to evaluate network survivability regarding geographic correlated failures. Further we conduct a comparative analysis by finding the most vulnerable geographic cuts or nodes in the network though solving an optimization problem to determine the cut with the largest impact for a number of measures in the literature as well as weighted spectrum. Numerical results on several sample network topologies show that the worst-case geographic cuts depend on the measure used in an unweighted or a weighted graph. The proposed weighted spectrum measure is shown to be more versatile than other measures in both unweighted and weighted graphs.2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/47603https://doi.org/Xuelian Long, David Tipper, Teresa Gomes, Measuring the survivability of networks to geographic correlated failures, Optical Switching and Networking, Volume 14, Part 2, 2014, Pages 117-133, ISSN 1573-4277, https://doi.org/10.1016/j.osn.2014.05.004.http://hdl.handle.net/10316/47603https://doi.org/10.1016/j.osn.2014.05.004enghttps://www.sciencedirect.com/science/article/pii/S1573427714000381?via%3DihubLong, XuelianTipper, DavidGomes, Teresainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-05-25T12:19:37Zoai:estudogeral.uc.pt:10316/47603Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:53:44.428677Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Measuring the survivability of networks to geographic correlated failures
title Measuring the survivability of networks to geographic correlated failures
spellingShingle Measuring the survivability of networks to geographic correlated failures
Long, Xuelian
Network survivability
Geographic correlated vulnerabilities
Weighted spectrum
title_short Measuring the survivability of networks to geographic correlated failures
title_full Measuring the survivability of networks to geographic correlated failures
title_fullStr Measuring the survivability of networks to geographic correlated failures
title_full_unstemmed Measuring the survivability of networks to geographic correlated failures
title_sort Measuring the survivability of networks to geographic correlated failures
author Long, Xuelian
author_facet Long, Xuelian
Tipper, David
Gomes, Teresa
author_role author
author2 Tipper, David
Gomes, Teresa
author2_role author
author
dc.contributor.author.fl_str_mv Long, Xuelian
Tipper, David
Gomes, Teresa
dc.subject.por.fl_str_mv Network survivability
Geographic correlated vulnerabilities
Weighted spectrum
topic Network survivability
Geographic correlated vulnerabilities
Weighted spectrum
description Wide area backbone communication networks are subject to a variety of hazards that can result in network component failures. Hazards such as power failures and storms can lead to geographical correlated failures. Recently there has been increasing interest in determining the ability of etworks to survive geographic correlated failures and a number of measures to quantify the effects of failures have appeared in the literature. This paper proposes the use of weighted spectrum to evaluate network survivability regarding geographic correlated failures. Further we conduct a comparative analysis by finding the most vulnerable geographic cuts or nodes in the network though solving an optimization problem to determine the cut with the largest impact for a number of measures in the literature as well as weighted spectrum. Numerical results on several sample network topologies show that the worst-case geographic cuts depend on the measure used in an unweighted or a weighted graph. The proposed weighted spectrum measure is shown to be more versatile than other measures in both unweighted and weighted graphs.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/47603
https://doi.org/Xuelian Long, David Tipper, Teresa Gomes, Measuring the survivability of networks to geographic correlated failures, Optical Switching and Networking, Volume 14, Part 2, 2014, Pages 117-133, ISSN 1573-4277, https://doi.org/10.1016/j.osn.2014.05.004.
http://hdl.handle.net/10316/47603
https://doi.org/10.1016/j.osn.2014.05.004
url http://hdl.handle.net/10316/47603
https://doi.org/Xuelian Long, David Tipper, Teresa Gomes, Measuring the survivability of networks to geographic correlated failures, Optical Switching and Networking, Volume 14, Part 2, 2014, Pages 117-133, ISSN 1573-4277, https://doi.org/10.1016/j.osn.2014.05.004.
https://doi.org/10.1016/j.osn.2014.05.004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S1573427714000381?via%3Dihub
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eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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