An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics. (arXiv:2205.04622v1 [cs.DC])

With the popularity of Internet of Things (IoT), edge computing and cloud
computing, more and more stream analytics applications are being developed
including real-time trend prediction and object detection on top of IoT sensing
data. One popular type of stream analytics is the recurrent neural network
(RNN) deep learning model based time series or sequence data prediction and
forecasting. Different from traditional analytics that assumes data to be
processed are available ahead of time and will not change, stream analytics …

analytics arxiv cloud edge framework