MHNCS: um middleware para o desenvolvimento de aplicações móveis cientes de contexto com requisitos de QoC

• Ano de defesa: 2014
• Autor(a) principal: Pinheiro, Dejailson Nascimento
• Orientador(a): SILVA, Francisco José da Silva e
• Banca de defesa: Abdelouahab, Zair
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
• Departamento: Engenharia
• País: BR
• Palavras-chave em Português: Computação Ubíqua; Computação Ciente de Contexto; Distribuição Centrada em Dados; Modelo Publish/Subscribe; Qualidade de Contexto
• Palavras-chave em Inglês: Ubiquitous Computing; Context-Aware Computing; Data-Centric Distribution; Publish/Subscribe model; Quality of Context
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://tedebc.ufma.br:8080/jspui/handle/tede/523

Mobile Social Networks (MSNs) are social structures in which members relate in groups and interaction is accomplished through information and communication technologies using portable devices and wireless network technologies. Healthcare is one among the many possible areas of RSMs application. The MobileHealthNet project, developed in partnership by UFMA and PUC-Rio, aims to develop a middleware that allows access to social networks and facilitate the development of collaborative services targeting the health domain, the exchange of experiences and communication between patients and health professionals, as well as a better management of health resources by government agencies. An important aspect in the development of the MobileHealthNet middleware is the infrastructure necessary for the gathering, distribution and processing of context data. In this master thesis we propose a software infrastructure incorporated to the MobileHealthNet middleware that allows the specification, acquisition, validation and distribution of context data, considering quality requirements, making them available to context-aware applications. The distribution of context data is based on a data-centric the publish/subscribe model, using the OMG-DDS specification.