Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provide computing infrastructure, enabling developers to quickly develop and deploy edge applications. Nowadays the edge computing systems have received widespread attention in both industry and academia. To explore new research opportunities and assist users in selecting suitable edge computing systems for specific applications, this survey paper provides a comprehensive overview of the existing edge computing systems and introduces representative projects. A comparison of open source tools is presented according to their applicability. Finally, we highlight energy efficiency and deep learning optimization of edge computing systems. Open issues for analyzing and designing an edge computing system are also studied in this survey.
翻译:在物与5G通信互联网愿景的驱动下,边际计算系统将网络边缘的计算、储存和网络资源整合在一起,以提供计算基础设施,使开发商能够迅速开发和部署边际应用。如今,边际计算系统在业界和学术界都得到了广泛关注。为了探索新的研究机会,协助用户选择适合具体应用的边际计算系统,本调查文件对现有边际计算系统进行了全面概述,并引入了具有代表性的项目。对开放源工具进行了比较,并根据其适用性进行了比较。最后,我们强调了边际计算系统的能源效率和深层学习优化。本次调查还研究了分析和设计边际计算系统的公开问题。