面向分布式环境的分层数据采集技术研究  

Research on hierarchical data acquisition technology for distributed environment

作　　者：彭力 PENG Li(Huizhou Yiwei Lithium Energy Co.,Ltd.,Huizhou,Guangdong 516006,China)

机构地区：[1]惠州亿纬锂能股份有限公司,广东惠州516006

出　　处：《计算机应用文摘》2025年第2期176-178,181,共4页

摘　　要：随着云计算、物联网等新兴技术的飞速发展,分布式系统已成为大数据处理的主流平台。然而,如何高效、可靠地采集分布式环境中的海量数据仍是亟须解决的难题,传统数据采集方法难以适应分布式系统的特点和需求。为此,文章提出了一种面向分布式环境的分层数据采集架构,综合应用自适应采集策略、数据一致性保障技术、高效调度算法和数据质量保障技术,可以有效克服分布式数据采集中的技术难题。实验结果表明,该分层架构能够显著提升数据采集的效率和数据质量,为海量分布式数据的价值挖掘奠定坚实基础。With the rapid development of emerging technologies such as cloud computing and the Internet of Things,distributed systems have become the mainstream platform for big data processing.However,how to efficiently and reliably collect massive data in distributed environment is still a problem to be solved,and traditional data acquisition methods are difficult to adapt to the characteristics and requirements of distributed system.Therefore,this paper proposes a layered data acquisition architecture for distributed environment,which integrates adaptive acquisition strategy,data consistency assurance technology,efficient scheduling algorithm and data quality assurance technology,which can effectively overcome the technical difficulties in distributed data acquisition.The experimental results show that the layered architecture can significantly improve the efficiency and quality of data acquisition,and lay a solid foundation for the value mining of massive distributed data.

关 键 词：分布式环境 数据采集 分层架构 自适应策略 质量保障 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]