Análise e redução do consumo energético em redes backbone IP/MPLS

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Peres, Bruno
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 do Rio de Janeiro
Brasil
Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
Programa de Pós-Graduação em Engenharia Elétrica
UFRJ
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/11422/11613
Resumo: High capacity routers are consuming more power over the years. In addition, the cost of energy has become increasingly expensive in Brazil. In this dissertation, an analysis of a three-year period of the electricity consumption of the telecommunication laboratory of a large service provider is presented. Subsequently, the consumption of the backbone routers from the laboratory was analyzed. We considered more than 17 thousand readings in 28 days of power consumption monitoring of the 26 routers that make up the laboratory backbone network, contemplating during this monitoring period a normal activity state of the network and later, an additional traffic was generated to analyze the impact on the energy consumption of the routers, differentiating this traffic generated in transport and application protocols. Thus, ways of reducing the network energy consumption were studied. The results show that there are opportunities for energy savings with better utilization and allocation of routers resources without compromising network performance, resulting in savings of 4.3% in the total consumption of the backbone, generating a effective savings in the amount paid to the electric energy company. The readings obtained were cross-checked with the utility’s billing data to measure the cost to maintain an operational backbone network. Finally, an energy-conscious service model is presented, where it is possible to extend the results obtained in the dissertation to commercial users who have fixed hours of operation.