摘要
随着物联网与通信技术的发展,电力物联网数据呈现海量异构的特点。针对目前云计算架构下电力物联网数据处理存在时延大、云计算压力大等问题,文章提出基于云边协同的数据处理方法。首先通过数据标准化描述、集成与融合等预处理步骤,解决数据多源异构、冗余度高等问题;然后针对数据处理提出了基于容器化技术的云边协同方法,将数据处理划分为多个微服务部署到边缘层,达到缓解云计算压力的目的。
With the development of IoTs and communication technologies,the power IoTs data presents the characteristics of massive heterogeneity.Aiming at the problems of large delays and heavy cloud computing pressure in the current cloud computing architecture,this paper puts forward a data pre-processing method based on cloud-edge collaboration.Firstly,the problem of multi-source heterogeneous data and high redundancy is solved through the pre-processing steps of data through standardized description,data integration and fusion,data label management,etc.Further,a container-based cloud-edge collaboration method is proposed for data application,which is divided into multiple micro-services and deployed to the edge layer to achieve the purpose of alleviating the pressure of cloud computing.
作者
黄杰
肖志清
毛冬
HUANG Jie;XIAO Zhiqing;MAO Dong(School of Cyber Science and Engineering,Southeast University,Nanjing 211189,China;Purple Mountain Laboratories for Network and Communication Security,Nanjing 211189,China;Jiangsu Key Laboratory of Computer Networking Technology,Nanjing 211189,China;Information&Telecommunication Branch,State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310020,China)
出处
《电力信息与通信技术》
2022年第1期35-42,共8页
Electric Power Information and Communication Technology
基金
国家电网有限公司总部科技项目资助“开放网络环境下物联管理平台的大连接高并发业务支撑技术研究”(5700-202019187A-0-0-00)。
关键词
电力物联网
云边协同
边缘计算
容器化技术
Power Internet of Things
cloud-edge collaboration
edge calculation
containerization technology