Evolutionary computation at work for the optimization of link state routing protocols

Bibliographic Details
Main Author: Pereira, Vitor
Publication Date: 2017
Other Authors: Sousa, Pedro, Rocha, Miguel
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/47974
Summary: This work explores the optimization of a real-valued parameter, assigned to each network node running the Distributed Exponentially-weighted Flow SpliTting (DEFT) routing protocol, in order to address changes on traffic conditions. This new proposal avoids the need to alter link weights and forwarding paths, by adjusting traffic splitting. In this context, we explore the use of Evolutionary Algorithms both in single and multi-objective optimization problems, to obtain solutions that minimize network's congestion.
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spelling Evolutionary computation at work for the optimization of link state routing protocolsevolutionary computationtraffic engineeringThis work explores the optimization of a real-valued parameter, assigned to each network node running the Distributed Exponentially-weighted Flow SpliTting (DEFT) routing protocol, in order to address changes on traffic conditions. This new proposal avoids the need to alter link weights and forwarding paths, by adjusting traffic splitting. In this context, we explore the use of Evolutionary Algorithms both in single and multi-objective optimization problems, to obtain solutions that minimize network's congestion.We thank the Portuguese FCT under the scope of the strategic funding of UID/BIO/04469/2013 unitand COMPETE 2020(POCI-01-0145-FEDER-006684) and BioTecNorte (NORTE-010145-FEDER-000004) funded by European Regional Development Fund (Norte2020-ProgramaOperacionalRegionaldoNorte).info:eu-repo/semantics/publishedVersionACMUniversidade do MinhoPereira, VitorSousa, PedroRocha, Miguel20172017-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/47974engPereira, Vitor; Sousa, Pedro; Rocha, Miguel, Evolutionary Computation at Work for the Optimization of Link State Routing Protocols. GECCO '17 - The Genetic and Evolutionary Computation Conference. Berlin, Germany, July 15-19, ACM, 299-300, 2017. ISBN: 978-1-4503-4939-0978-1-4503-4939-010.1145/3067695.3076110http://gecco-2017.sigevo.orginfo: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:RCAAP2024-05-11T05:32:52Zoai:repositorium.sdum.uminho.pt:1822/47974Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:22:03.321971Repositórios 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 Evolutionary computation at work for the optimization of link state routing protocols
title Evolutionary computation at work for the optimization of link state routing protocols
spellingShingle Evolutionary computation at work for the optimization of link state routing protocols
Pereira, Vitor
evolutionary computation
traffic engineering
title_short Evolutionary computation at work for the optimization of link state routing protocols
title_full Evolutionary computation at work for the optimization of link state routing protocols
title_fullStr Evolutionary computation at work for the optimization of link state routing protocols
title_full_unstemmed Evolutionary computation at work for the optimization of link state routing protocols
title_sort Evolutionary computation at work for the optimization of link state routing protocols
author Pereira, Vitor
author_facet Pereira, Vitor
Sousa, Pedro
Rocha, Miguel
author_role author
author2 Sousa, Pedro
Rocha, Miguel
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Pereira, Vitor
Sousa, Pedro
Rocha, Miguel
dc.subject.por.fl_str_mv evolutionary computation
traffic engineering
topic evolutionary computation
traffic engineering
description This work explores the optimization of a real-valued parameter, assigned to each network node running the Distributed Exponentially-weighted Flow SpliTting (DEFT) routing protocol, in order to address changes on traffic conditions. This new proposal avoids the need to alter link weights and forwarding paths, by adjusting traffic splitting. In this context, we explore the use of Evolutionary Algorithms both in single and multi-objective optimization problems, to obtain solutions that minimize network's congestion.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01T00:00:00Z
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/1822/47974
url http://hdl.handle.net/1822/47974
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pereira, Vitor; Sousa, Pedro; Rocha, Miguel, Evolutionary Computation at Work for the Optimization of Link State Routing Protocols. GECCO '17 - The Genetic and Evolutionary Computation Conference. Berlin, Germany, July 15-19, ACM, 299-300, 2017. ISBN: 978-1-4503-4939-0
978-1-4503-4939-0
10.1145/3067695.3076110
http://gecco-2017.sigevo.org
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 ACM
publisher.none.fl_str_mv ACM
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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