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基于云-边-端的多源异构大数据治理架构研究

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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.
Research on multi-source heterogeneous big data governance architecture based on cloud-edge-end
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 de-sign,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.

cloud-edge-endmulti-source heterogeneousbig data governancearchitecture design

许政、阮西玥、陈祥浩

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中航机载系统共性技术有限公司,江苏 扬州 225000

云-边-端 多源异构 大数据治理 架构设计

2024

网络安全与数据治理
华北计算机系统工程研究所(中国电子信息产业集团有限公司第六研究所)

网络安全与数据治理

影响因子:0.348
ISSN:2097-1788
年,卷(期):2024.43(12)