Uma metodologia para avaliação de desempenho de ambientes virtuais de aprendizagem em nuvens computacionais privadas

• Ano de defesa: 2017
• Autor(a) principal: FERNANDES, Carlos Marques
• Orientador(a): LINS, Fernando Antonio Aires
• Banca de defesa: DINIZ, Juliana Regueira Basto, CALLOU, Gustavo Rau de Almeida, SOUZA, Rodrigo Nonamor Pereira Mariano de
• 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: Avaliação de desempenho; Ambiente virtual de aprendizagem; Computação em nuvem
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7871

Distance education is becoming a particularly relevant topic for a technology-based society. Assembling an infrastructure for a virtual learning environment (VLE) is costly compared to the ability to create this environment in a cloud computing environment. Public cloud computing environments are an excellent choice for performing the AVA hosting task, but some companies and / or schools may have special (security or legal) needs that determine control over the cloud computing environment to In these cases, a private cloud computing environment is indicated. To measure the performance of the installed system, it is necessary to apply a series of tests that can be performed incorrectly, with the results interpreted inadequately and without providing useful information. To fill the identified gap in methodologies that show how to assess client-side performance of a virtual learning environment in private cloud computing systems, this dissertation provides a methodology for measuring client-side and server-side performance structure and documents all processes with BPMN and tests the methodology in two case studies, one in a private cloud with one VLE installed and the other in a traditional real physical infrastructure with an VLE installed.