Um modelo orientado ao négocio para suporte à tomada de decisão multicritério no gerenciamento de capacidade em provedores IAAS

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Fenner, Germano
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
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://www.repositorio.ufc.br/handle/riufc/40855
Resumo: Cloud services are being widely used, either for the sake of cost reduction, practicality or technological updating. Among the several services offered in a cloud, infrastructure as a service (IaaS) stands out due to the existence of a dependence of the other services in relation to it. From the increasing demand for this type of service, providers need to be prepared to meet the growing needs of their customers. Capacity management has been critical to the success of these providers. Increasingly, qualitative factors such as alignment with strategy, level of people knowledge, and demand quantity need to be considered when managing these services, are some of the factors that need to be considered. Scaling capacity required for effective service from cloud infrastructure service provider is a challenging process for managers. This work presents a business model to support decision making, based on systems dynamics (DS) theory, to support capacity management process. The model aims to support IT managers in decisions that involve capacity analysis for specific investments. A case study was carried out in a real company, where different scenarios were reproduced through simulations, to support the decision-making process in capacity management. The results indicated that the proposed model was useful, preferable in relation to actual company process, precise and effective for what was proposed.