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A cloud-edge collaborative framework and its applications

Yixuan Zhang, Guorong Chen, Tingting Wen, Qiao Yuan, Bocheng Wang, Biaobiao Hu

Year
2021
Citations
9

Abstract

In view of the following situations in smart industry and smart life, heterogeneous devices cannot be unrecognized effectively and automatically, the cloud takes a long time to response, and the inefficiency of on-site data analysis and linkage processing capabilities, this paper proposes that a cloud-edge collaborative computing framework called CGET. The biggest feature of CGET is that it splits the edge into levels: edge intelligent gateway and edge server. In addition, this paper proposes a method for automatic access, identification and communication of edge-side heterogeneous sensors based on the “cloud-edge collaboration + edge-edge collaboration” architecture, which realizes the protection of sensitive information of edge-side sensors and the information based on RESTFUL style unified conversion function. Taking elderly ambulance as an example, based on the proposed architecture, the emergency rescue process for the elderly is designed, and the existing intelligent medical rescue process is optimized; taking industrial inspection robots as an example, a intelligent industrial computing model based on cloud-edge collaboration is proposed. The project results provide a new way of thinking for intelligent industry and life services and similar applications.

Keywords

Cloud computingComputer scienceEnhanced Data Rates for GSM EvolutionDistributed computingOperating systemArtificial intelligence

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