클라우드-엣지 협업 지능을 위한 소프트웨어 아키텍처와 기술 현황

Abstract

With the advent of the Internet of Things (IoT) era, the traditional cloud computing model has been unable to cope with the data processing needs of more and more edge devices, and then the concept of edge computing emerged accordingly. The proposal of this technology has effectively helped the cloud to reduce the pressure on computing. But due to the limitations of the computing power of edge devices compared to the cloud, we proposed Cloud-Edge Collaborative Intelligence. This article mainly introduces the background and current development of this technology, and analyzes the relationship between its internal components and current artificial intelligence. Then two collaborative models to achieve this goal are introduced, namely cloud-edge collaboration and edge-edge collaboration, and the core technologies required are analyzed in detail. Then the four components to realize this architecture are presented, which are data collaboration, resource management collaboration, application collaboration and task scheduling collaboration. Finally, we summarize how the related technologies and models mentioned in the article improve and promote the development of cloud-edge collaborative intelligence, and put forward a prospect for the future development of this technology. We believe that this technology will surely promote a major change in the industrial internet in the future.