Abordagem dirigida a modelos para implantação automática de software em nuvem

• Autor(a) principal: Ribeiro Júnior, Franklin Magalhães
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFS
• Texto Completo: https://ri.ufs.br/handle/riufs/3345
• topic: Computação; Linguagem de programação (Computadores); Desdobramento da função qualidade; Computação em nuvem; Software; Deployment; Implantação automática; Cloud computing; Automatic deployment; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

Cloud computing offers resources to reduce the computational costs in the institutions that uses hardware and software resources through virtualization, in addition the delivery of software as a service. There are mechanisms for automated software deployment in cloud providers, however it requires encoding or extensive knowledge for developer on the cloud provider specific technology, particularly the various requirements reconstruction, because cloud environments have their own software architectures. In this research was presented a model-based approach to automatic software deployment in the cloud environment. We presented a brief review of literature, with existing proposals for automated software deployment in cloud. In analyzed solutions, we found five that presents deployment mechanisms are script or programming language based, two proposals used manual mechanisms and two proposals applied the model-based approach to software deployment in the cloud, however still strongly linked to manual aspects and complex modeling, because it requires the developer to understand the cloud provider architecture. This research presents a new solution with detailed architecture, use cases, data flow and conceptual view of a model-based approach to automatic software deployment in the cloud. In this research was also conducted an experiment, where the solution presented positive impacts in maintainability, learn-ability and reduction of developer´s workload to deploy software services in the cloud, using UML deployment diagrams as input.