FRADIR-II: An Improved Framework for Disaster Resilience
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/10316/90461 https://doi.org/10.1109/RNDM48015.2019.8949142 |
Resumo: | In this paper, we present a framework for disaster resilience, called FRADIR-II, which improves the performance of its previous counterpart. In the novel framework, two different failure models are jointly considered: independent random failures and regional failures that may be used to model the effect of disasters. First, we design an infrastructure against random failures, termed as the spine, which guarantees a certain availability to the working paths. Second, in order to prepare this infrastructure against disasters, we introduce a probabilistic regional failure model, where a modified Euclidean distance of an edge to the epicenter of a disaster is used. The proposed function jointly takes into account the physical length of the edges and their availability, so that a higher/lower availability is reflected in a higher/lower distance from the epicenter. This novel availability-aware disaster failure model generates a failure list which is deemed to be more realistic than previous approaches. Next, a heuristic for link upgrade attempting at the reduction of the likelihood of regional failures disconnecting the network is proposed. Finally, a generalized dedicated protection algorithm is used to route the connection requests, providing protection against the obtained failure list. The experimental results show that FRADIR-II is able to provide disaster resilience even in critical infrastructures. |
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FRADIR-II: An Improved Framework for Disaster Resiliencedisaster resilienceprobabilistic failureregional failurespinegeneral dedicated protectionIn this paper, we present a framework for disaster resilience, called FRADIR-II, which improves the performance of its previous counterpart. In the novel framework, two different failure models are jointly considered: independent random failures and regional failures that may be used to model the effect of disasters. First, we design an infrastructure against random failures, termed as the spine, which guarantees a certain availability to the working paths. Second, in order to prepare this infrastructure against disasters, we introduce a probabilistic regional failure model, where a modified Euclidean distance of an edge to the epicenter of a disaster is used. The proposed function jointly takes into account the physical length of the edges and their availability, so that a higher/lower availability is reflected in a higher/lower distance from the epicenter. This novel availability-aware disaster failure model generates a failure list which is deemed to be more realistic than previous approaches. Next, a heuristic for link upgrade attempting at the reduction of the likelihood of regional failures disconnecting the network is proposed. Finally, a generalized dedicated protection algorithm is used to route the connection requests, providing protection against the obtained failure list. The experimental results show that FRADIR-II is able to provide disaster resilience even in critical infrastructures.IEEE2020-01-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/90461http://hdl.handle.net/10316/90461https://doi.org/10.1109/RNDM48015.2019.8949142engA. Pašić, R. Girão-Silva, B. Vass, T. Gomes, F. Mogyorósi, P. Babarczi and J. Tapolcai, "FRADIR-II: An Improved Framework for Disaster Resilience," 2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM), Nicosia, Cyprus, 2019, pp. 1-7, doi: 10.1109/RNDM48015.2019.8949142.978-1-7281-4698-0https://ieeexplore.ieee.org/document/8949142Pasic, AlijaGirão-Silva, RitaVass, BalázsGomes, TeresaMogyorosi, FerencBabarczi, PeterTapolcai, Janosinfo: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:RCAAP2022-05-25T04:58:13Zoai:estudogeral.uc.pt:10316/90461Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:10:35.648838Repositório 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 |
FRADIR-II: An Improved Framework for Disaster Resilience |
title |
FRADIR-II: An Improved Framework for Disaster Resilience |
spellingShingle |
FRADIR-II: An Improved Framework for Disaster Resilience Pasic, Alija disaster resilience probabilistic failure regional failure spine general dedicated protection |
title_short |
FRADIR-II: An Improved Framework for Disaster Resilience |
title_full |
FRADIR-II: An Improved Framework for Disaster Resilience |
title_fullStr |
FRADIR-II: An Improved Framework for Disaster Resilience |
title_full_unstemmed |
FRADIR-II: An Improved Framework for Disaster Resilience |
title_sort |
FRADIR-II: An Improved Framework for Disaster Resilience |
author |
Pasic, Alija |
author_facet |
Pasic, Alija Girão-Silva, Rita Vass, Balázs Gomes, Teresa Mogyorosi, Ferenc Babarczi, Peter Tapolcai, Janos |
author_role |
author |
author2 |
Girão-Silva, Rita Vass, Balázs Gomes, Teresa Mogyorosi, Ferenc Babarczi, Peter Tapolcai, Janos |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Pasic, Alija Girão-Silva, Rita Vass, Balázs Gomes, Teresa Mogyorosi, Ferenc Babarczi, Peter Tapolcai, Janos |
dc.subject.por.fl_str_mv |
disaster resilience probabilistic failure regional failure spine general dedicated protection |
topic |
disaster resilience probabilistic failure regional failure spine general dedicated protection |
description |
In this paper, we present a framework for disaster resilience, called FRADIR-II, which improves the performance of its previous counterpart. In the novel framework, two different failure models are jointly considered: independent random failures and regional failures that may be used to model the effect of disasters. First, we design an infrastructure against random failures, termed as the spine, which guarantees a certain availability to the working paths. Second, in order to prepare this infrastructure against disasters, we introduce a probabilistic regional failure model, where a modified Euclidean distance of an edge to the epicenter of a disaster is used. The proposed function jointly takes into account the physical length of the edges and their availability, so that a higher/lower availability is reflected in a higher/lower distance from the epicenter. This novel availability-aware disaster failure model generates a failure list which is deemed to be more realistic than previous approaches. Next, a heuristic for link upgrade attempting at the reduction of the likelihood of regional failures disconnecting the network is proposed. Finally, a generalized dedicated protection algorithm is used to route the connection requests, providing protection against the obtained failure list. The experimental results show that FRADIR-II is able to provide disaster resilience even in critical infrastructures. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-06 |
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/10316/90461 http://hdl.handle.net/10316/90461 https://doi.org/10.1109/RNDM48015.2019.8949142 |
url |
http://hdl.handle.net/10316/90461 https://doi.org/10.1109/RNDM48015.2019.8949142 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
A. Pašić, R. Girão-Silva, B. Vass, T. Gomes, F. Mogyorósi, P. Babarczi and J. Tapolcai, "FRADIR-II: An Improved Framework for Disaster Resilience," 2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM), Nicosia, Cyprus, 2019, pp. 1-7, doi: 10.1109/RNDM48015.2019.8949142. 978-1-7281-4698-0 https://ieeexplore.ieee.org/document/8949142 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
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 |
repository.mail.fl_str_mv |
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1799134000380379136 |