Eficiência dos modelos de dados relacional, documento e grafo para o gerenciamento de dados geográficos móveis

• Ano de defesa: 2015
• Autor(a) principal: Pedro Onofre Santos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Análise de desempenho; NoSQL; Bancos de dados geográficos; Big data; Sistemas de informação geográfica; Computação; Benchmarking (Administração); Avaliação de desempenho
• Link de acesso: http://hdl.handle.net/1843/ESBF-9WWQGE

Increasing data volume, application diversity and mobility are the foremost characteristics of many current information systems. However, selecting the appropriate computational infrastructure is still a hard task for the designers of such systems. This work demonstrates how current performance evaluation techniques may not be ideal when comparing the performance of spatial database management systems. We consider mobile applications that involve constant spatial data traffic, such as querying for points of interest and map visualization. Our evaluation shows that a fair comparison requires specific workloads for each mobile feature -- which is not currently achievable by the industry's standard benchmark tools. We then compare technologies in relational (SQL), document-oriented and graph-based DBMSs (NoSQL). Overall, this study demonstrates that the one-size-fits-all benchmark methodologies are not optimal and may lead to a far from optimum system design.