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An evolutionary algorithm for unicast/multicast traffic engineering

Bibliographic Details
Main Author: Rocha, Miguel
Publication Date: 2008
Other Authors: Sousa, Pedro, Rio, Miguel, Cortez, Paulo
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/8020
Summary: 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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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
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