2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)
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Abstract

Although mobile smart devices are becoming more and more resourceful, they cannot compete with higher-end devices in terms of computational capabilities. Therefore, it is generally advantageous to offload computationally intensive tasks. While cloud-based offloading is popular, it has a non-negligible impact on the energy consumption of mobile devices. Our solution is a novel approach based on locally opportunistic code offloading that leverages the local availability of higher-end devices. We aim to demonstrate the benefits of our approach with respect to a widely adopted benchmark: face recognition.
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