Measuring the survivability of networks to geographic correlated failures
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133823759286272 |