Intending to support new emerging applications with latency requirements below what can be offered by the cloud data centers, the edge and fog computing paradigms have reared. In such systems, the real-time instant data is processed closer to the edge of the network, instead of the remote data centers. With the advances in edge and fog computing systems, novel and efficient solutions based on Distributed Hash Tables (DHTs) emerge and play critical roles in system design. Several DHT-based solutions have been proposed to either augment the scalability and efficiency of edge and fog computing infrastructures or to enable application-specific functionalities such as task and resource management. This paper presents the first comprehensive study on the state-of-the-art DHT-based architectures in edge and fog computing systems from the lenses of infrastructure and application. Moreover, the paper details the open problems and discusses future research guidelines for the DHT-based edge and fog computing systems.

翻译：为了支持新的新应用,其潜伏要求低于云层数据中心所能提供的值,边缘和雾计算模式已经形成。在这类系统中,实时即时数据处理更接近网络边缘,而不是远程数据中心。随着边缘和雾计算系统的进步,基于分布散列散列表的新颖和有效的解决方案出现,并在系统设计中发挥关键作用。基于DHT的几种解决方案已经提出,要么提高边缘和雾计算基础设施的可缩放性和效率,要么使任务和资源管理等具体应用功能得以实现。本文介绍了从基础设施和应用的透镜角度对边缘和雾计算系统中最先进的DHT型结构的首次全面研究。此外,该文件详细介绍了开放问题,并讨论了基于DHT的边缘和雾计算系统的未来研究准则。