Adapting to Application Workflow in Processing Data Integration Queries

摘要：

Data integration has evolved to provide efficient data management across distributed and heterogeneous data sources in grid environment.However, existing works in data integration consider little knowledge about the above applications. In such settings, queries from the same application are processed independently.In this paper, application properties are noticed in order to improve query performance for data integration. We present a general-purpose and wellmodular architecture for addressing data integration in grid (DIG) environment first, the modules of which can be flexibly deployed to adapt specific application.Moreover, special attention has been paid on query processing to accommodate application workflow with the component of Query Flow Processor. It introduces multi-query optimization techniques to speed up overall response time for DIG.

关键词： Data Integration Query Flow Processor Multi-query Optimization

作者: Yongwei WU Jia LIU Gang Chen Guangwen Yang Bo Cao Weimin Zheng

作者单位: Department of Computer Science and Technology; Tsinghua National Laboratory for Information Science and Technology, Tsinghua University Beijing 100084, China

会议类型: 国际会议

会议名称: 第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)

会议地点: 乌鲁木齐

会议语种:英文

页码: 745-748

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）