节点文献
数据流上的自适应连接算法
An Adaptive Join Algorithm on Data Stream
【机构】 北京大学计算机科学技术系;
【摘要】 <正>1引言近几年来,数据流上的查询处理备受关注。与描述稳定数据集的关系数据模型不同,数据流模型描述的是不断到达的元组序列,它具有实时、连续、有序、无界的特征,其流速也随时间而变化。引
【Abstract】 Join operator plays an important role in data stream query processing.Join operator on data stream resembles that in relational algebra,except for introducing the window restriction.Due to the real-time,continuous,ordered and unlimited property of data streams,join operator is demanded to output as many results as possible,continually and smoothly,and to be self-adaptive to bursty input streams.In this paper,we propose a join algorithm, WJoin,which is based on Symmetric Hash Table and is proper for incremental computation.Experiment studies show that WJoin is an effective solution for providing good responses to users in the environment of data stream.
- 【会议录名称】 第二十二届中国数据库学术会议论文集(技术报告篇)
- 【会议名称】第二十二届中国数据库学术会议
- 【会议时间】2005-08-19
- 【会议地点】中国内蒙古呼和浩特
- 【分类号】TP311.13
- 【主办单位】中国计算机学会数据库专业委员会