Uma estratégia baseada em modelos para a quantificação do impacto da disponibilidade no fluxo energético de data centers

• Ano de defesa: 2019
• Autor(a) principal: BEZERRA, Thiago Valentim
• Orientador(a): CALLOU, Gustavo Rau de Almeida
• Banca de defesa: ALBUQUERQUE JÚNIOR, Gabriel Alves de, NOGUEIRA, Bruno Costa e Silva
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal Rural de Pernambuco
• Programa de Pós-Graduação: Programa de Pós-Graduação em Informática Aplicada
• Departamento: Departamento de Estatística e Informática
• País: Brasil
• Palavras-chave em Português: Data center; Fluxo energético; Redes de Petri; Disponibilidade de equipamento
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8564

As demand for higher computing power increases, demand for services hosted in cloud computing environments is increasing. For example, it is known that in 2018 over 4 billion people made daily access to these services through the Internet, which is more than half of the world's population. To support such services, these clouds are made available by large data centers. These systems are responsible for the increasing consumption of electricity, given the increasing number of accesses, increasing the demand for greater communication capacity, processing and high availability. Since this electricity is not always obtained from renewable resources, the relentless pursuit of cloud services can have a signi cant environmental impact. In this context, this paper proposes an integrated and dynamic strategy that demonstrates the impact of the availability of data center architecture equipment on energy consumption. For this, we used the technique of modeling colored Petri nets, responsible for quantifying the cost, environmental impact and availability of the electric power infrastructure of the data centers under analysis. Such proposed models are supported by the developed tooling, where data center designers do not need to know the Petri net formalism to compute the metrics of interest. Two case studies were proposed to show the applicability of the models and the proposed strategy. Signi cant results were obtained, showing a 100% increase in system availability, with virtually the same operating cost and environmental impact.