A centrality-based heuristic for network design to support availability differentiation
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/10316/90456 https://doi.org/10.1109/DRCN48652.2020.1570603040 |
Resumo: | In today's society, communication networks are of paramount importance, and providing adequate levels of availability of the resources in a cost effective way is crucial for network managers. We consider the design of a high availability structure (a spine) in the network, so that a desired availability for the network flows may be achieved. The tackled problem involves the selection of the edges forming the spine and the selection of the enhanced availability for each of those edges, aiming at fulfilling a prespecified availability value for each flow, at minimum cost. We solve the formulated Mixed Integer Linear Problem (MILP) for small networks, which allows us to identify some characteristics of the spanning tree formed by the set of links with upgraded availability. Afterwards, using that information, we propose a heuristic based on a centrality measure, which allows us to devise the appropriate set of links, and which may be used in larger networks. Experimental results show the effectiveness of the resolution approach in finding spines equal to the optimal ones or to the best known solutions. |
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A centrality-based heuristic for network design to support availability differentiationavailabilityresilienceheuristiccentralitycost functionsIn today's society, communication networks are of paramount importance, and providing adequate levels of availability of the resources in a cost effective way is crucial for network managers. We consider the design of a high availability structure (a spine) in the network, so that a desired availability for the network flows may be achieved. The tackled problem involves the selection of the edges forming the spine and the selection of the enhanced availability for each of those edges, aiming at fulfilling a prespecified availability value for each flow, at minimum cost. We solve the formulated Mixed Integer Linear Problem (MILP) for small networks, which allows us to identify some characteristics of the spanning tree formed by the set of links with upgraded availability. Afterwards, using that information, we propose a heuristic based on a centrality measure, which allows us to devise the appropriate set of links, and which may be used in larger networks. Experimental results show the effectiveness of the resolution approach in finding spines equal to the optimal ones or to the best known solutions.IEEE2020-05-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/90456http://hdl.handle.net/10316/90456https://doi.org/10.1109/DRCN48652.2020.1570603040engR. Girão-Silva, T. Gomes, L. Martins, D. Tipper and A. Alashaikh, "A centrality-based heuristic for network design to support availability differentiation," 2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020, Milano, Italy, 2020, pp. 1-7, doi: 10.1109/DRCN48652.2020.1570603040.978-1-7281-6300-0https://ieeexplore.ieee.org/document/9089371Girão-Silva, RitaGomes, TeresaMartins, LúciaTipper, DavidAlashaikh, Abdulazizinfo: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:RCAAP2022-05-25T06:22:52Zoai:estudogeral.uc.pt:10316/90456Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:10:35.401369Repositório 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 |
A centrality-based heuristic for network design to support availability differentiation |
title |
A centrality-based heuristic for network design to support availability differentiation |
spellingShingle |
A centrality-based heuristic for network design to support availability differentiation Girão-Silva, Rita availability resilience heuristic centrality cost functions |
title_short |
A centrality-based heuristic for network design to support availability differentiation |
title_full |
A centrality-based heuristic for network design to support availability differentiation |
title_fullStr |
A centrality-based heuristic for network design to support availability differentiation |
title_full_unstemmed |
A centrality-based heuristic for network design to support availability differentiation |
title_sort |
A centrality-based heuristic for network design to support availability differentiation |
author |
Girão-Silva, Rita |
author_facet |
Girão-Silva, Rita Gomes, Teresa Martins, Lúcia Tipper, David Alashaikh, Abdulaziz |
author_role |
author |
author2 |
Gomes, Teresa Martins, Lúcia Tipper, David Alashaikh, Abdulaziz |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Girão-Silva, Rita Gomes, Teresa Martins, Lúcia Tipper, David Alashaikh, Abdulaziz |
dc.subject.por.fl_str_mv |
availability resilience heuristic centrality cost functions |
topic |
availability resilience heuristic centrality cost functions |
description |
In today's society, communication networks are of paramount importance, and providing adequate levels of availability of the resources in a cost effective way is crucial for network managers. We consider the design of a high availability structure (a spine) in the network, so that a desired availability for the network flows may be achieved. The tackled problem involves the selection of the edges forming the spine and the selection of the enhanced availability for each of those edges, aiming at fulfilling a prespecified availability value for each flow, at minimum cost. We solve the formulated Mixed Integer Linear Problem (MILP) for small networks, which allows us to identify some characteristics of the spanning tree formed by the set of links with upgraded availability. Afterwards, using that information, we propose a heuristic based on a centrality measure, which allows us to devise the appropriate set of links, and which may be used in larger networks. Experimental results show the effectiveness of the resolution approach in finding spines equal to the optimal ones or to the best known solutions. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-11 |
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/10316/90456 http://hdl.handle.net/10316/90456 https://doi.org/10.1109/DRCN48652.2020.1570603040 |
url |
http://hdl.handle.net/10316/90456 https://doi.org/10.1109/DRCN48652.2020.1570603040 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
R. Girão-Silva, T. Gomes, L. Martins, D. Tipper and A. Alashaikh, "A centrality-based heuristic for network design to support availability differentiation," 2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020, Milano, Italy, 2020, pp. 1-7, doi: 10.1109/DRCN48652.2020.1570603040. 978-1-7281-6300-0 https://ieeexplore.ieee.org/document/9089371 |
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 |
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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) |
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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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1799134000374087680 |