Quality of service constrained routing optimization using evolutionary computation
Autor(a) principal: | |
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Data de Publicação: | 2011 |
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/1822/11983 |
Resumo: | In this work, a novel optimization framework is proposed that allows the im- provement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of link-state protocols such as OSPF. Since this is a NP-hard problem, some algorithms from Evolutionary Computation were considered, work- ing over a mathematical model that allows the definition of flexible cost functions that can take into account several measures of the network behaviour, such as net- work congestion and end-to-end delays. A number of experiments were performed, over a large set of network topologies, where Evolutionary Algorithms (EAs), Dif- ferential Evolution, local search methods and common heuristics were compared. EAs make the most promising alternative leading to solutions with an effective net- work performance, even under unfavourable scenarios. A number of state of the art multiobjective optimization algorithms were also tested, but the proposed EAs still hold as the most consistent method for network optimization. |
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Quality of service constrained routing optimization using evolutionary computationTraffic engineeringQuality of serviceTCP/IP networksOSPFEvolutionary algorithmsScience & TechnologyIn this work, a novel optimization framework is proposed that allows the im- provement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of link-state protocols such as OSPF. Since this is a NP-hard problem, some algorithms from Evolutionary Computation were considered, work- ing over a mathematical model that allows the definition of flexible cost functions that can take into account several measures of the network behaviour, such as net- work congestion and end-to-end delays. A number of experiments were performed, over a large set of network topologies, where Evolutionary Algorithms (EAs), Dif- ferential Evolution, local search methods and common heuristics were compared. EAs make the most promising alternative leading to solutions with an effective net- work performance, even under unfavourable scenarios. A number of state of the art multiobjective optimization algorithms were also tested, but the proposed EAs still hold as the most consistent method for network optimization.Fundação para a Ciência e a Tecnologia (FCT) - Contract CONC-REEQ/443/2001British Council Portugal - B-53/05 grantPortuguese National Conference of Rectors (CRUP)Nuffield Foundation - NAL/001136/A grantEngineering and Physical Sciences Research Council - EP/522885 grantProject SeARCH (Services and Advanced Research Computing with HTC/HPC clusters)Elsevier Science BVUniversidade do MinhoRocha, MiguelSousa, PedroCortez, PauloRio, Miguel20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/11983eng1568-494610.1016/j.asoc.2009.11.026http://dx.doi.org/10.1016/j.asoc.2009.11.026info: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:RCAAP2023-07-21T11:59:07Zoai:repositorium.sdum.uminho.pt:1822/11983Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:48:52.849969Repositório 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 |
Quality of service constrained routing optimization using evolutionary computation |
title |
Quality of service constrained routing optimization using evolutionary computation |
spellingShingle |
Quality of service constrained routing optimization using evolutionary computation Rocha, Miguel Traffic engineering Quality of service TCP/IP networks OSPF Evolutionary algorithms Science & Technology |
title_short |
Quality of service constrained routing optimization using evolutionary computation |
title_full |
Quality of service constrained routing optimization using evolutionary computation |
title_fullStr |
Quality of service constrained routing optimization using evolutionary computation |
title_full_unstemmed |
Quality of service constrained routing optimization using evolutionary computation |
title_sort |
Quality of service constrained routing optimization using evolutionary computation |
author |
Rocha, Miguel |
author_facet |
Rocha, Miguel Sousa, Pedro Cortez, Paulo Rio, Miguel |
author_role |
author |
author2 |
Sousa, Pedro Cortez, Paulo Rio, Miguel |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Rocha, Miguel Sousa, Pedro Cortez, Paulo Rio, Miguel |
dc.subject.por.fl_str_mv |
Traffic engineering Quality of service TCP/IP networks OSPF Evolutionary algorithms Science & Technology |
topic |
Traffic engineering Quality of service TCP/IP networks OSPF Evolutionary algorithms Science & Technology |
description |
In this work, a novel optimization framework is proposed that allows the im- provement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of link-state protocols such as OSPF. Since this is a NP-hard problem, some algorithms from Evolutionary Computation were considered, work- ing over a mathematical model that allows the definition of flexible cost functions that can take into account several measures of the network behaviour, such as net- work congestion and end-to-end delays. A number of experiments were performed, over a large set of network topologies, where Evolutionary Algorithms (EAs), Dif- ferential Evolution, local search methods and common heuristics were compared. EAs make the most promising alternative leading to solutions with an effective net- work performance, even under unfavourable scenarios. A number of state of the art multiobjective optimization algorithms were also tested, but the proposed EAs still hold as the most consistent method for network optimization. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z |
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/1822/11983 |
url |
http://hdl.handle.net/1822/11983 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1568-4946 10.1016/j.asoc.2009.11.026 http://dx.doi.org/10.1016/j.asoc.2009.11.026 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science BV |
publisher.none.fl_str_mv |
Elsevier Science BV |
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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1799132252224880640 |