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基于云-边-端的多源异构大数据治理架构研究

Research on multi-source heterogeneous big data governance architecture based on cloud-edge-end
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摘要 随着航空机载产品制造过程中数字化程度的不断提升,多源异构工业大数据高速增长,这些实时与非实时交融的大数据对系统的数据管理能力提出了更高的要求。设计了一种基于云-边-端的多源异构数据治理架构,以提升数据传输和管理效能为目标,重点围绕数据采样同步机制、边缘数据治理、云端数据治理等方面进行功能设计,通过实验验证了架构的可行性和可用性,能支撑云、边、端各类节点的差异化数据应用。 With the continuous improvement of digitization in the manufacturing process of aviation airborne products,the massive multi-source heterogeneous industrial data grows geometrically,and these real-time and non-real-time intermingled big data put forward higher requirements for the data management capability of the system.In this paper,a multi-source heterogeneous data governance architecture based on cloud-edge-end is designed to enhance data transmission and management performance,focusing on data sampling synchronization mechanism,edge data governance,cloud data governance and other aspects of the functional design,and the feasibility and usability of the architecture is verified through experiments,which can support the differentiated needs of various node data applications in the cloud-edge-end.
作者 许政 阮西玥 陈祥浩 Xu Zheng;Ruan Xiyue;Chen Xianghao(AVICAS Generic Technology Co.,Ltd.,Yangzhou 225000,China)
出处 《网络安全与数据治理》 2024年第12期47-53,共7页 CYBER SECURITY AND DATA GOVERNANCE
基金 MJ专项科研项目(MJXX-XXXX)。
关键词 云-边-端 多源异构 大数据治理 架构设计 cloud-edge-end multi-source heterogeneous big data governance architecture design
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