PADIA: P2P-based Adaptive Data Integration Architecture

摘要：

In traditional query processing approaches, execution engine executes query according to an efficient query execution plan generated by query optimizer. However, PDBMS (Peer-based Database Management System) runs in an unpredictable environment, where optimizer is not able to generate an efficient query execution plan based on available statistics. We present a distributed, adaptive data integration architecture-PADIA, which can execute queries quickly and provide query results in an incremental manner. PADIA collects statistics during query execution, and generates different query execution plans for different data segments based on statistics collected. By distributing query executing tasks to different nodes, PADIA lowers work load of single node and accelerates the execution of queries. Experiments show that PADIA is able to provide query results quickly and stably.

关键词： data integration adaptive query processing PDBMS PADIA

作者: Zhenhua Wang Xin Sun Yue Kou

作者单位: College of Information Science and Engineering Northeastern University Shenyang, China

会议类型: 国际会议

会议名称: 2010 Seventh Web Information System and Applications Conference(第七届全国web信息系统及其应用学术会议)

会议地点: 呼和浩特

会议语种:英文

页码: 173-178

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）