一种面向分布式分析的雾计算架构及其在电网安全风险评估中的应用

A Fog Computing Infrastructure for Distributed Analytics And Its Application in Risk Assessment to Power Grid

近年来,云计算作为大数据应用的支撑运算平台,得到了越来越广泛的应用。但在以物联网大数据为主的大数据应用中,云计算不能完全满分布式分析在边界网络对计算分析的低时间延迟,以及小通信数据量的要求。针对这些问题,提出了一种具有适应性的雾计算架构,并将该架构应用于电力系统安全风险评估这类典型的以物联网大数据为支撑的大数据应用中。通过原型系统实验,初步验证了所提架构的有效性。

In recent years,cloud computing is more widely used to support big data application.But in applications which big data mainly come from Internet Of Things（Io T）,cloud computing can＇t support low latency computing and low communication data volume in the distributed analytic predicting application.Aiming to solve these problems,a fog computing infrastructure is proposed in this paper,and used in Risk Assessment to Power Grid which is a typical Io T big data application.Through experiments on prototype system,the availability of the infrastructure is been approved.