大数据2025，Vol.11Issue(3)：33-48,16.DOI:10.11959/j.issn.2096-0271.2025039
面向云边端协同的数据库预聚合方法研究
Research on database pre-aggregation method for cloud-edge-device collaboration architecture
摘要
Abstract
The cloud-edge-device collaborative architecture serves as the foundation for applications such as smart manufacturing and smart cities,with collaborative computing as a critical supporting technology.Within this architecture,due to the diversity and large scale of data,traditional data management techniques struggle to support real-time querying of large-scale data.To address this,this paper proposes a database pre-aggregation method tailored to cloud-edge-device collaboration,utilizing an automated materialized view generation strategy to achieve data pre-aggregation and improve real-time query performance.Experimental results show that this pre-aggregation method reduces query time by up to 68.45%,significantly enhancing data query performance in cloud-edge-device collaborative architecture.关键词
云边端协同/物化视图/深度强化学习Key words
cloud-edge-device collaborative/materialized view/deep reinforcement learning分类
计算机与自动化引用本文复制引用
崔双双,马若尧,王宏志..面向云边端协同的数据库预聚合方法研究[J].大数据,2025,11(3):33-48,16.基金项目
国家自然科学基金项目(No.62232005,No.62202126) （No.62232005,No.62202126）
国家重点研发计划项目(No.2020YFB1006104) The National Natural Science Foundation of China(No.62232005,No.62202126),The National Key Research and Development Program of China(No.2020YFB1006104) （No.2020YFB1006104）
