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. |