摘要
压缩数据库技术是海量数据管理的重要技术之一。利用海量数据自身及其数据操作的特点,提出了一种海量数据压缩存储结构。该存储结构将第二级和第三级存储器结合起来,以数据操作条件中的谓词为索引,在减少存储空间的同时有效地支持查询、删除和更新等数据操作。理论分析和实验结果表明,这种存储结构可以提高海量数据的存储效率和数据操作的性能。
The compression technique of database plays an important role in the management of massive data. The characteristics of massive data and the data operations on these data are examined, and compression storage architecture of massive data is proposed in this paper. Our architecture utilizes both the secondary and the tertiary storage, and the predications in the condition of operations are used as index. The theoretical analysis and experiment results show that our architecture can reduce the storage space needed remarkably and improve the efficiency of data operation such as data query, data insertion and data deletion.
出处
《计算机科学》
CSCD
北大核心
2005年第9期86-90,159,共6页
Computer Science
基金
国家自然科学基金(项目号:60273082)
