Graph coloring techniques for planning dynamic optical networks

Bibliographic Details
Main Author: Fonseca, Pedro Afonso Fernandes
Publication Date: 2021
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10071/24311
Summary: Dynamic optical networks will be crucial in global optical communications in the next 5-10 years.On-demand services, fuelled by applications such as cloud computing and grid computing, are the main drivers for the availability of an increasingly dynamic network infrastructure. Efficient network planning tools that deal with Routing and Wavelength Assignment problems are of paramount relevance in this dynamics cenario. In this work, a simulator for planning dynamic optical networks was developed, and several real networks were tested, such as National Science Foundation Network, British Telecom, US Backbone Network, and also bidirectional ring networks. In this simulator, we have implemented a graph coloring wavelength assignment algorithm named Small-Bucket algorithm that allows recoloring to occur. A comparison performance with the First-fit algorithm is performed in terms of the blocking probability, number of recolorings, number of colors used and simulation time. It is concluded that the Small-Bucket algorithm originate slower blocking probabilities than the ones obtained with the First-fit algorithm. However, to reach these low blocking probabilities, the Small-Bucket algorithm makes use of a larger number of wavelengths and recolorings.
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spelling Graph coloring techniques for planning dynamic optical networksDynamic optical networksGraph coloringRouting and wavelength assignmentSmall-Bucket algorithmAlgoritmo Small-BucketColoração de grafosEncaminhamento e atribuições de comprimentos de ondaRedes óticas dinâmicasDynamic optical networks will be crucial in global optical communications in the next 5-10 years.On-demand services, fuelled by applications such as cloud computing and grid computing, are the main drivers for the availability of an increasingly dynamic network infrastructure. Efficient network planning tools that deal with Routing and Wavelength Assignment problems are of paramount relevance in this dynamics cenario. In this work, a simulator for planning dynamic optical networks was developed, and several real networks were tested, such as National Science Foundation Network, British Telecom, US Backbone Network, and also bidirectional ring networks. In this simulator, we have implemented a graph coloring wavelength assignment algorithm named Small-Bucket algorithm that allows recoloring to occur. A comparison performance with the First-fit algorithm is performed in terms of the blocking probability, number of recolorings, number of colors used and simulation time. It is concluded that the Small-Bucket algorithm originate slower blocking probabilities than the ones obtained with the First-fit algorithm. However, to reach these low blocking probabilities, the Small-Bucket algorithm makes use of a larger number of wavelengths and recolorings.As redes ópticas dinâmicas serão cruciais nas comunicações ópticas globais nos proximos 5-10 anos. Os principais impulsionadores deste dinamismo são os serviços on-demand, suportados por aplicações como computação em nuvem e computação em grelha, conduzindo à necessidade de uma infraestrutura de rede cada vez mais dinâmica. Ferramentas de planeamento de rede eficientes, que lidam com os problemas de encaminhamento e atribuição de comprimentos de onda serão de extrema relevância neste cenário dinâmico. Neste trabalho foi desenvolvido um simulador para o planeamento de redes ópticas dinâmicas, e várias redes reais foram testadas, como a National Science Foundation Network, a British Telecom, a US Backbone Network e também redes bidirecionais em anel. Neste simulador, implementa-se um algoritmo de coloração de grafos denominado algoritmo Small-Bucket, que permite a ocorrência de recolorações de nós. Este algoritmo é comparado como algoritmo First-fit, em termos de probabilidade de bloqueio, número de recolorações, número de cores usadas e tempo de simulação. Conclui-se que o algoritmo Small-Bucket produz menores probabilidades de bloqueio do que as obtidas com o algoritmo First-fit. No entanto, para atingir essas baixas probabilidades de bloqueio, o algoritmo Small-Bucket faz uso de um maior número de comprimentos de onda e recolorações.2022-01-25T14:56:58Z2021-12-21T00:00:00Z2021-12-212021-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/24311TID:202857409engFonseca, Pedro Afonso Fernandesinfo: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:RCAAP2024-07-07T02:49:47Zoai:repositorio.iscte-iul.pt:10071/24311Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:08:46.190149Repositórios 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 Graph coloring techniques for planning dynamic optical networks
title Graph coloring techniques for planning dynamic optical networks
spellingShingle Graph coloring techniques for planning dynamic optical networks
Fonseca, Pedro Afonso Fernandes
Dynamic optical networks
Graph coloring
Routing and wavelength assignment
Small-Bucket algorithm
Algoritmo Small-Bucket
Coloração de grafos
Encaminhamento e atribuições de comprimentos de onda
Redes óticas dinâmicas
title_short Graph coloring techniques for planning dynamic optical networks
title_full Graph coloring techniques for planning dynamic optical networks
title_fullStr Graph coloring techniques for planning dynamic optical networks
title_full_unstemmed Graph coloring techniques for planning dynamic optical networks
title_sort Graph coloring techniques for planning dynamic optical networks
author Fonseca, Pedro Afonso Fernandes
author_facet Fonseca, Pedro Afonso Fernandes
author_role author
dc.contributor.author.fl_str_mv Fonseca, Pedro Afonso Fernandes
dc.subject.por.fl_str_mv Dynamic optical networks
Graph coloring
Routing and wavelength assignment
Small-Bucket algorithm
Algoritmo Small-Bucket
Coloração de grafos
Encaminhamento e atribuições de comprimentos de onda
Redes óticas dinâmicas
topic Dynamic optical networks
Graph coloring
Routing and wavelength assignment
Small-Bucket algorithm
Algoritmo Small-Bucket
Coloração de grafos
Encaminhamento e atribuições de comprimentos de onda
Redes óticas dinâmicas
description Dynamic optical networks will be crucial in global optical communications in the next 5-10 years.On-demand services, fuelled by applications such as cloud computing and grid computing, are the main drivers for the availability of an increasingly dynamic network infrastructure. Efficient network planning tools that deal with Routing and Wavelength Assignment problems are of paramount relevance in this dynamics cenario. In this work, a simulator for planning dynamic optical networks was developed, and several real networks were tested, such as National Science Foundation Network, British Telecom, US Backbone Network, and also bidirectional ring networks. In this simulator, we have implemented a graph coloring wavelength assignment algorithm named Small-Bucket algorithm that allows recoloring to occur. A comparison performance with the First-fit algorithm is performed in terms of the blocking probability, number of recolorings, number of colors used and simulation time. It is concluded that the Small-Bucket algorithm originate slower blocking probabilities than the ones obtained with the First-fit algorithm. However, to reach these low blocking probabilities, the Small-Bucket algorithm makes use of a larger number of wavelengths and recolorings.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-21T00:00:00Z
2021-12-21
2021-11
2022-01-25T14:56:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/24311
TID:202857409
url http://hdl.handle.net/10071/24311
identifier_str_mv TID:202857409
dc.language.iso.fl_str_mv eng
language eng
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.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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