Table of Contents
Big Data Cogn. Comput., Volume 2, Issue 3 (September 2018)
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Cover Story (view full-size image) With the increasing computational power of smartphones and smaller devices with high connectivity [...] Read more. With the increasing computational power of smartphones and smaller devices with high connectivity forming Internet of Things (IoT), we witness a golden opportunity to enable smart environments. Machine learning is set to play a significant role in such enablement through the deployment of predictive and descriptive models closer to the source (edge), so to reduce cloud and network latency and associated costs. We tested the edge deployed of state-of-the-art machine learning models for accuracy, latency and energy consumption. Moreover, these methods were tested for model construction at the edge, increasing the independence from cloud services. Based on the results of the conducted experiments, recommendations were given on which method to use depending on the applications’ requirements. View this paper