An evolutionary algorithm for unicast/multicast traffic engineering
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://hdl.handle.net/1822/8020 |
Resumo: | A number of Traffic Engineering (TE) approaches have been recently proposed to improve the performance of network routing protocols, both developed over MPLS and intra-domain protocols such as OSPF. In this work, a TE approach is proposed for routing optimization in scenarios where unicast and multicast demands are simultaneously present. Evolutionary Algorithms are used as the optimization engine with overall network congestion as the objective function. The optimization aim is to reach a set of (near-)optimal weights to configure the OSPF protocol, both in its standard version and also considering the possibility of using multitopology variants. The results show that the proposed optimization approach is able to obtain networks with low congestion, even under scenarios with heavy unicast/multicast demands. |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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spelling |
An evolutionary algorithm for unicast/multicast traffic engineeringTraffic engineeringMulticast contentEvolutionary algorithmsOSPFScience & TechnologyA number of Traffic Engineering (TE) approaches have been recently proposed to improve the performance of network routing protocols, both developed over MPLS and intra-domain protocols such as OSPF. In this work, a TE approach is proposed for routing optimization in scenarios where unicast and multicast demands are simultaneously present. Evolutionary Algorithms are used as the optimization engine with overall network congestion as the objective function. The optimization aim is to reach a set of (near-)optimal weights to configure the OSPF protocol, both in its standard version and also considering the possibility of using multitopology variants. The results show that the proposed optimization approach is able to obtain networks with low congestion, even under scenarios with heavy unicast/multicast demands.This work was supported by the Portuguese Foundation for Science and Technology under project POSC/EIA/59899/2004, partially funded by FEDER.Institute for Systems and Technologies of Information, Control and Communication (INSTICC)Universidade do MinhoRocha, MiguelSousa, PedroRio, MiguelCortez, Paulo2008-052008-05-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/8020engINTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 5, Funchal, Portugal, 2008 – “Proceedings of the ICINCO 2008”. [S.l.] : INSTICC, 2008 . ISBN 978-989-8111-30-2. p. 238-243.978-989-8111-30-2info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T07:00:25Zoai:repositorium.sdum.uminho.pt:1822/8020Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:12:09.563663Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
An evolutionary algorithm for unicast/multicast traffic engineering |
title |
An evolutionary algorithm for unicast/multicast traffic engineering |
spellingShingle |
An evolutionary algorithm for unicast/multicast traffic engineering Rocha, Miguel Traffic engineering Multicast content Evolutionary algorithms OSPF Science & Technology |
title_short |
An evolutionary algorithm for unicast/multicast traffic engineering |
title_full |
An evolutionary algorithm for unicast/multicast traffic engineering |
title_fullStr |
An evolutionary algorithm for unicast/multicast traffic engineering |
title_full_unstemmed |
An evolutionary algorithm for unicast/multicast traffic engineering |
title_sort |
An evolutionary algorithm for unicast/multicast traffic engineering |
author |
Rocha, Miguel |
author_facet |
Rocha, Miguel Sousa, Pedro Rio, Miguel Cortez, Paulo |
author_role |
author |
author2 |
Sousa, Pedro Rio, Miguel Cortez, Paulo |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Rocha, Miguel Sousa, Pedro Rio, Miguel Cortez, Paulo |
dc.subject.por.fl_str_mv |
Traffic engineering Multicast content Evolutionary algorithms OSPF Science & Technology |
topic |
Traffic engineering Multicast content Evolutionary algorithms OSPF Science & Technology |
description |
A number of Traffic Engineering (TE) approaches have been recently proposed to improve the performance of network routing protocols, both developed over MPLS and intra-domain protocols such as OSPF. In this work, a TE approach is proposed for routing optimization in scenarios where unicast and multicast demands are simultaneously present. Evolutionary Algorithms are used as the optimization engine with overall network congestion as the objective function. The optimization aim is to reach a set of (near-)optimal weights to configure the OSPF protocol, both in its standard version and also considering the possibility of using multitopology variants. The results show that the proposed optimization approach is able to obtain networks with low congestion, even under scenarios with heavy unicast/multicast demands. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-05 2008-05-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/8020 |
url |
http://hdl.handle.net/1822/8020 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 5, Funchal, Portugal, 2008 – “Proceedings of the ICINCO 2008”. [S.l.] : INSTICC, 2008 . ISBN 978-989-8111-30-2. p. 238-243. 978-989-8111-30-2 |
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 |
Institute for Systems and Technologies of Information, Control and Communication (INSTICC) |
publisher.none.fl_str_mv |
Institute for Systems and Technologies of Information, Control and Communication (INSTICC) |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833595800635047936 |