The edge computing (EC) paradigm brings computation and storage to the edge of the network where data is both consumed and produced. This variation is necessary to cope with the increasing amount of network-connected devices and data transmitted, that the launch of the new 5G networks will expand. The aim is to avoid the high latency and traffic bottlenecks associated with the use of Cloud Computing in networks where several devices both access and generate high volumes of data. EC also improves network support for mobility, security, and privacy. This paper provides a discussion around EC and summarized the definition and fundamental properties of the EC architectures proposed in the literature (Multi-access Edge Computing, Fog Computing, Cloudlet Computing, and Mobile Cloud Computing). Subsequently, this paper examines significant use cases for each EC architecture and debates some promising future research directions.

边缘计算（EC）范式将计算和存储带到了网络边缘，在该边缘上，数据被消耗和产生。这种变化对于应对越来越多的网络连接设备和传输的数据是必要的，新的5G网络的推出将得到扩展。目的是避免在多个设备同时访问并生成大量数据的网络中使用云计算带来的高延迟和流量瓶颈。EC还改善了对移动性，安全性和隐私性的网络支持。本文围绕EC进行了讨论，并总结了文献（多访问边缘计算，雾计算，Cloudlet计算和移动云计算）中提出的EC体系结构的定义和基本属性。后来，