计算机科学
微服务
建筑
数据模型(GIS)
云计算
数据建模
网格
面向服务的体系结构
数据库
软件工程
分布式计算
Web服务
万维网
操作系统
人工智能
艺术
视觉艺术
几何学
数学
作者
Guangxian Lyu,Peng Liu,Yiming Lu,Tianyou Wang,Xianguo Kang
出处
期刊:International Conference on Cyber Security and Cloud Computing
日期:2021-06-01
卷期号:: 219-224
被引量:6
标识
DOI:10.1109/cscloud-edgecom52276.2021.00047
摘要
At present, the general capacity building based on the data middle platform is still in the exploratory stage, the enterprise information service capacity has not been effectively accumulated, and the phenomenon of repeated development is serious. This paper proposes a data middle platform architecture based on microservices, which can precipitate enterprise-level data resources and model service capabilities, avoid repeated development of the same functional code, repeated model training, and shortens the model iteration cycle and development cost. The architecture can currently support the accumulation and reuse of general data, general feature operators, and general machine learning models, and can efficiently support file transfer between business information systems and data middle platform.
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