SDNMonitor : um serviço de monitoramento de tráfego em redes definidas por software

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Silva, Emanuel Ferreira da lattes
Orientador(a): Salgueiro, Edilayne Meneses
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Sergipe
Programa de Pós-Graduação: Pós-Graduação em Ciência da Computação
Departamento: Não Informado pela instituição
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://ri.ufs.br/handle/riufs/3388
Resumo: With the popularity of the Internet and the emergence of new services, it has become increasingly necessary to make a network planning, in order to ensure that each of the elements that compose it are used e ciently. Moreover, it is necessary to control and monitor the network, making sure that everything is running the way it was planned. In networks using the SDN paradigm, by introducing a network controller, is possible the separation between the data plane (hardware) and control plane (software) existing on the network devices, allowing that new protocols and technologies are implemented and tested on any network device, regardless of its manufacturer. In contrast with it, the following question arises: how to apply tra c monitoring in an SDN network ahead of his centralized control architecture without causing delays or inconsistencies? This work proposed a tra c monitoring service for SDN networks based on the OpenFlow protocol, called SDNMonitor, which aims to provide a view of network data tra c at three levels of granularity, for each port of each switch, for each flow and for each network service. Additionally, it was also proposed a load balancing service based on the use of Round-Robin and Bandwidth-Based algorithms. The experimental evaluation of these services was conducted through controlled experiments, which were generated and monitored some tra c. The results showed that the SDNMonitor service could monitor the network tra c in the three levels of granularity without impacting negatively on its operation, and that the load balancing service has been able to improve network tra c.