Invasive technique for measuring the energy consumption of mobile devices applications in mobile cloud environments

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 energy autonomy limitations. 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 an invasive measurement technique that can be applied to scenarios involving mobile cloud computing (MCC). This measurement technique allows evaluating the energy consumption of applications in MCC environments using different workloads. In addition to energy consumption, this work also present results related to execution time, allowing to evaluate the impact of different factors such as cloud types (private and public) and type of connection (3G, 4G, and Wi-Fi) in the system execution. It was possible through the use of the proposed measurement technique to verify and quantify the impact of the MCC use for the reduction of energy consumption in mobile devices.