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A Review of Edge Computing Nodes based on the Internet of Things

机译:基于事物互联网的边缘计算节点综述

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Due to the limitations of resources on the IoT device side, it is necessary to provide users with services not only by means of a long-distance cloud computing center node, but also by some edge computing nodes. If all the data on the device side is transmitted to the cloud center node, it will be returned to the device side after unified processing. This transmission method will bring great pressure to the network link and data center, and it will also cause the cloud center node to overload and refuse service. In order to speed up the data processing and reduce delay, we briefly summarize the edge computing node model in this paper. Firstly, considering the properties of privacy, security, trust and resource scheduling, etc., the edge computing is analyzed. Then, based on these properties, the definition, architecture, and collaboration with cloud-edge-net of edge computing are discussed. We also introduce the current key technologies used in edge computing, such as network, virtualization, isolation, deep learning, and access control technologies. Finally, we give a prospect of the possible application of edge computing in the future.
机译:由于IOT设备侧的资源的局限性,必须通过长途云计算中心节点提供服务,而且还必须通过一些边缘计算节点向用户提供服务。如果设备侧的所有数据被传输到云中心节点,则会在统一处理后返回到设备侧。此传输方法将对网络链路和数据中心带来很大的压力,并将导致云中心节点过载和拒绝服务。为了加快数据处理和减少延迟,我们简要概述了本文的边缘计算节点模型。首先,考虑隐私,安全,信任和资源调度等的属性,分析了边缘计算。然后,讨论了边缘计算的定义,体系结构和与云边缘网络的协作。我们还介绍了边缘计算中使用的当前关键技术,例如网络,虚拟化,隔离,深度学习和访问控制技术。最后,我们在将来提供了可能应用边缘计算的前景。

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