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Embedded systems execute applications that exercise the hardware differently depending on the computation task, generating varying workloads with time. Energy minimization can be reached exploring the optimal CPU frequency for each workload. We propose an autonomous and online approach, capable of minimizing energy through adaptation to these workload variations even in an unknown environment. In...
Cache memory optimization has an important impact on the energy consumption of the embedded system. However, optimization is a hard task due to the large exploration space and conflicting objectives. In this work five multiobjective optimization techniques are applied to cache memory optimization. The PESA-II, NSGAII, SPEA2, PAES and NPGA approaches were applied to 18 different applications from MiBench...
With the increase in smartphone sales and the use of clouds, data synchronization is an essential activity in the mobile applications that aim to keep data up-to-date with information from the application server. This paper proposes an analysis of the main approaches for data synchronization concerning energy, which are the polling and pushing techniques. The results show a substantial gain in terms...
Estimations about energy consumption in embedded applications allow to engineers improve codification, scale power systems as well as improve redundant power system in case of fail. In this context, was developed a framework, which is capable to characterize execution time, requested power, used energy, executed instructions and its frequency. Additionally, the developed framework is capable to evaluate...
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