Uma Proposta para Auto-Configuração Especializada de Elementos de Borda em Redes SDN Utilizando a Arquitetura SONAr

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Oliveira, Daniel Ricardo Cunha
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Ciência da Computação
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
SON
SDN
Link de acesso: https://repositorio.ufu.br/handle/123456789/31153
http://doi.org/10.14393/ufu.di.2021.7
Resumo: The increasing complexity of computer networks to support current applications has been perceived as a technical and economic limiting factor for their evolution. One answer to this matter is the proposal of new autonomic network architectures based on Software-Defined Networks (SDN), with implementation of features called self- *. Of these features, one that stands out is self-configuration. Some self-configuration models have already been proposed at a higher level of definition, but there is still a lot of practical work to be done in this regard. In this work, the goal is the modeling, implementation and testing of a specialized network self-configuration system when a new edge element has been inserted. This system must recognize the element and configure a specific network segment in a way that it works on a "plug-and-play" model. The approach will be based on the Self-Organized Networks Architecture (SONAr) framework, which is being developed by a group of researchers from the Faculty of Computing of the Federal University of Uberlândia, and will be incorporated as a functional part of it. The results obtained demonstrate the practical feasibility of the implemented functionality both in terms of effectiveness and efficiency, with its performance exceeding by several orders of magnitude the time required for manual configuration of a specific network such as the used in telecommunications.