problems, data and analysis task are moving to the edge platform. However, most edge devices do not have
enough capacity to process and train large amounts of data. In this paper, we propose a new framework struc-
ture that can analyze IoT data by distributing analysis role. The proposed framework is designed to maximize
the resources of the cloud to generate the model and to use the model at the edge to enable immediate and
instantaneous actuator operation. And we also present a case study to verify this framework.
10. Scalable and Flexible IoT data analytics: when Machine Learning meets SDN and
Virtualization
Link: https://ieeexplore.ieee.or ...
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