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Abstract
With the rapid development of the Internet of Everything (IoE), the number of smart devices connected to the Internet is increasing, resulting in large-scale data, which has caused problems such as bandwidth load, slow response speed, poor security, and poor privacy in traditional cloud computing models. Traditional cloud computing is no longer sufficient to support the diverse needs of today's intelligent society for data processing, so edge computing technologies have emerged. It is a new computing paradigm for performing calculations at the edge of the network. Unlike cloud computing, it emphasizes closer to the user and closer to the source of the data. At the edge of the network, it is lightweight for local, small-scale data storage and processing. This article mainly reviews the related research and results of edge computing. First, it summarizes the concept of edge computing and compares it with cloud computing. Then summarize the architecture of edge computing, keyword technology, security and privacy protection, and finally summarize the applications of edge computing.
Highlights
With the development of intelligent society and the continuous improvement of people’s needs, intelligence has involved various industries and people’s daily lives in society
We introduce edge computing in detail from the aspects of edge computing introduction, architecture, key technologies, security and privacy, and applications to provide a reference for edge computing researchers
HOT RESEARCH CONTENT OF EDGE COMPUTING The emergence of edge computing has promoted the rapid development of the Internet of Things and has made a significant contribution to the realization of an intelligent society
Summary
With the development of intelligent society and the continuous improvement of people’s needs, intelligence has involved various industries and people’s daily lives in society. According to hardware characteristics and service types, edge computing nodes are divided into edge gateways that process and convert network protocols, edge controllers that control real-time closed-loop services, edge clouds that process large-scale data, and edges that collect and process low-cost information Sensors, etc., can abstract the devices in the edge computing layer into computing, networking and storage. Edge computing reference architecture 3.0 provides four service development frameworks from the terminal to the cloud, including lightweight computing systems, real-time computing systems, intelligent distributed systems, and intelligent gateway systems. It provides an operable open-source platform, in which all micro-services can run on various operating systems in the form of containers, and support dynamic addition or reduction of functions, with strong scalability. The application fields of EdgeX Foundry have involved various industries such as retail, manufacturing [30], energy [31], urban parks, transportation [32] and other industries
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