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基于Hadoop分布式存储的医疗影像数据平台建设与应用

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设计了一套基于Hadoop分布式存储的高效医疗影像数据平台,利用一种优化后的文件处理策略将多个小文件合并成一个大文件,降低了 NameNode管理的元数据数量,同时根据文件的访问频率自动调整合并策略,提高存储的效率和数据访问速度,增加可靠性,实现降本增效.
Construction and Application of a Medical Imaging Data Platform Based on Hadoop Distributed Storage
An efficient medical imaging data platform based on Hadoop distributed storage was de-signed.Using an optimized file processing strategy,multiple small files were merged into one large file,reducing the amount of metadata managed by the NameNode.At the same time,the merging strat-egy was automatically adjusted based on the frequency of file access,improving storage efficiency and data access speed,increasing reliability,and achieving cost reduction and efficiency improvement.

HadoopDistributed storageData platformSystem construction

丁嘉朋、刘俊淋、王庆庆、钟子辰、卢福昱、王建英

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中国人民解放军总医院医疗保障中心信息科,北京 100089

Hadoop 分布式存储 数据平台 系统建设

2024

云南师范大学学报(自然科学版)
云南师范大学

云南师范大学学报(自然科学版)

CSTPCD
影响因子:0.54
ISSN:1007-9793
年,卷(期):2024.44(6)