A Cloud-Edge Intelligent Collaborative Framework and Its Applications in AIGC and Digital Twins

With the development of modern information technology and 5G, cloud-edge intelligent collaboration can make full use of the powerful computing power of cloud computing and the real-time response capability of edge computing to improve the overall efficiency of industrial intelligent systems. Thus, it shows strong application potential in digital twins, foundation models, and meta-universes. However, most of the existing researches focus on resource collaboration, data collaboration and application collaboration in cloud-edge computing framework, and there are many shortcomings in the research of intelligent collaboration framework. Therefore, we first propose a cloud-edge intelligent collaboration framework, which consists of three parts: terminal layer, edge artificial intelligence (AI) layer and cloud AI layer, including two core processes: cloud-edge intelligent training and cloud-edge intelligent inference. Then, we systematically analyze the key technologies of cloud-edge intelligent collaboration, including model segmentation, model early exit and foundation models. Finally, we put forward the application of cloud-edge intelligent collaboration in digital twin and AI Generated Content (AIGC), and through the analysis of typical application scenarios.