基于边缘计算的工业物联网容器管理引擎设计  

Design of the container management engine for industrial Internet of Things based on edge computing

作　　者：郭家伊 Guo Jiayi(Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China)

机构地区：[1]杭州电子科技大学,浙江杭州310018

出　　处：《计算机时代》2021年第7期38-41,45,共5页Computer Era

摘　　要：针对工业物联网中云端压力大、工业协议标准繁多等问题,设计了一款基于边缘计算的工业物联网容器管理引擎。该引擎具有三个分布式端,分别部署了容器管理引擎KubeEdge、协议转化工具EMQ X Edge和可视化工具OCP、Kuboard,提供资源监控、镜像管理、持续集成、自动伸缩、协议转换等功能。测试显示,集群数据带宽提升339.19%,响应时间减少81.22%。把部分计算任务从云端卸载到边缘后,系统能源消耗减少30%-40%,成功解决带宽不够、云端压力大等问题。Aiming at the problems of high cloud pressure and various industrial protocol standards in industrial Internet of Things,a container management engine for industrial Internet of Things based on edge computing is designed.The engine has three distributed terminals,which respectively deploy the container management engine KubeEdge,the protocol conversion tool EMQ X Edge and the visualization tools OCP and Kuboard to provide resource monitoring,image management,continuous integration,automatic scaling,protocol conversion and other functions.The test results show that the cluster data bandwidth is increased by 339.19%,and the response time is reduced by 81.22%.After some computing tasks are unloaded from the cloud to the edge,the system energy consumption is reduced by 30%-40%,which successfully solves the problems of insufficient bandwidth and high cloud pressure.

关 键 词：边缘计算 工业物联网 容器 KubeEdge 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]