Integração do modelo de referência Multi-Access Edge Computing (MEC) com o Núcleo 5G

• Ano de defesa: 2022
• Autor(a) principal: Xavier, Rúben França
• Orientador(a): Oliveira Junior, Antonio Carlos de
• Banca de defesa: Oliveira Junior, Antonio Carlos de, Freitas, Leandro Alexandre, Venâncio Neto, Augusto José, Figueiredo, Fabricio Lira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• dARK ID: ark:/38995/001300000fpm3
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RMG)
• País: Brasil
• Palavras-chave em Português: MEC; 5G; 5G Core; Integração; API
• Palavras-chave em Inglês: Integration; Edge computing
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/13630

Multi-access Edge Computing (MEC) is the key concept for developing new applications and services that bring the benefits of edge computing to networks and users. With applications and services at the edge, that is, closer to users and devices, it will be possible to use features such as ultra low latency, high bandwidth and resource consumption. However, for this to be possible, it is necessary to integrate the MEC framework and the 5G core. For this, this work proposes the specification of a service that will extend the Multi-Access Traffic Steering (MTS) API as a bridge for the connection between MEC and 5G Core. Free5GC and a Kubernetes cluster were used to simulate an end-to-end environment. The proposed service was validated using the aforementioned tool, with end-to-end scenarios and also in scenarios with a large volume of users. The validation demonstrated that the service solves the presented problem, in addition to demonstrating its viability in use cases.