Uma metodologia para avaliação do consumo de energia de aplicações baseadas em ambientes de computação móvel em nuvem

• Autor(a) principal: SILVA, Josival dos Santos
• Data de Publicação: 2017
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRPE
• Texto Completo: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7866
• topic: Dispositivo móvel; Metodologia de medição; Consumo de energia; Computação em nuvem móvel; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

The increase in the use of mobile devices from the first decade of this century has enabled users to perform several activities previously only possible through personal computers. However, the use of these devices is impacted by their known computational limitations, such as data processing, RAM memory, storage and low power autonomy. Considering this context, to measure the impact of the energy consumption of mobile devices applications is considered a relevant activity. In this context, this work presents a measurement methodology that can be applied to scenarios involving Mobile Cloud Computing (MCC). This measurement methodology allows evaluating the energy consumption of applications in MCC environments using different workloads. In addition to the energy consumption, this work of dissertation takes into account the execution time metric, deriving in an indirect metric, allowing to evaluate the impact of different factors like types of cloud (public and private) and the type of connection (3G, 4G and Wi-Fi) running on the system. It was possible through the use of the proposed measurement methodology to verify and quantify the impact of MCC use to reduce the energy consumption of a smartphone. Furthermore, to perform a measurement in applications involving mobile cloud computing, applying a strategy that does not interfere with the analyzed system, through a non-invasive measurement tool, besides presenting how to select and collect the metrics, and treat the data for an evaluation of system performance.