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海量关系的拆分压缩技术
Compression Method of Massive Relation Based on Splitting
【机构】 哈尔滨工业大学计算机科学与技术学院;
【摘要】 <正>1引言最近几年,随着信息技术的发展,各国各领域的信息量都爆炸性地增长。高于1012字节的海量数据库已很常见。美国劳伦斯国家实验室的高能物理实验数据高达每年3×1014字节。现在Internet上拥有的数据量已达万亿至兆亿字节量级,并在不断增加。
【Abstract】 Compression plays an important role in the storage and management of massive data.In this paper,the primary problems appeared in the research of compressed database are summarized.And based on the observation that the range of some combination of attributes of a massive relation is much smaller than the range of the whole relation,a compression technique of massive relation based on splitting the relation is designed.Also,an algorithm is invented to extract the frequent combination of attributes from massive relation.At last,queries on the split massive relation are considered.Experiments turns out that this method is fairly efficient.
- 【会议录名称】 第二十届全国数据库学术会议论文集(研究报告篇)
- 【会议名称】第二十届全国数据库学术会议
- 【会议时间】2003-10-10
- 【会议地点】中国湖南长沙
- 【分类号】TP311.13
- 【主办单位】中国计算机学会数据库专业委员会