Collaborative Cloud-Edge Service Cognition Framework for DNN Configuration toward Smart IIoT

With the widespread application of artificial intelligence and the Internet of Things, the intellectualization of the IIoT (Industrial Internet of Things, IIoT) has received more and more attention. There is quite much demand from machine learning services in such scenarios. Therefore, it is urgent to find an adaptive solution for the machine learning service reasoning system rather than rely on manually configuring hardware or pulling DNN (Deep Neural Network, DNN) models. Compared with the system using only edge or only cloud, the collaborative cloud-edge architecture is a better solution in the IIoT scenario. Thus, this paper presents a collaborative cloud-edge cognitive service framework for DNN model service configuration, which is deployed to industrial scenarios and makes full use of the available resources of edge servers and cloud. Meanwhile, a self-adaptive model selection mechanism is established and the reinforcement learning algorithm to realize the optimal model selection strategy.