Abstract
The edge-to-cloud ecosystem includes cloud management service providers in addition to cloud service providers. The system is also an isolated disorder state, and there are both edge computation and fog computation structures. To realize the effective flow of resources, a hybrid computing paradigm HEC is analyzed with respect to its typical characteristics and applications in various industry scenarios. This paper analyzes the challenges in edge serverless computing, edge big data processing and edge AI, and expounds our views on the technologies adopted, such as offloading, resource allocation, resource provisioning, and deep learning. In the end, it looks forward to the flexible work of HEC integrating resources, which will lead to dynamic, flexible and intelligent changes in computing from edge to cloud.
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