Web数据仓库的异步迭代查询处理方法

An Asynchronous Iteration Approach for Processing on Web Data Warehouse

数据仓库信息量的飞速膨胀对数据仓库提出了巨大挑战.如何提高Web环境下数据仓库的查询效率成为数据仓库研究领域重要的研究问题.对Web数据仓库的体系结构和查询方法进行了研究和探讨.在分析几种Web数据仓库实现方法的基础上,提出了一种Web数据仓库的层次体系结构,并在此基础上提出了Web数据仓库的异步迭代查询方法.该方法充分利用了流水线并行技术,在Web数据仓库的查询处理过程中不同层次的结点以流水线方式运行,并行完成查询的处理,提高了查询效率.理论分析表明,该方法可以有效地提高Web数据仓库的查询效率.

The exploding of information in data warehouses makes a great challenge to data warehouse research. How to increase query efficiency across web data warehouse plays an important role in data warehouse research. After analysis of several data warehouse implementation, a kind of hierarchy architecture of the web data warehouses is proposed, and an asynchronous iteration approach for query processing on web data warehouses is presented based on the hierarchy architecture of web data warehouse. In the asynchronous iteration approach, the pipelining parallel processing technique is exploited. During the processing of the queries on web data warehouses, all the nodes in difference layers of web data warehouse are executed in pipelining parallel manner so that the performance of the query processing is tremendously improved. The theoretical analysis shows that the asynchronous iteration approach is very efficiently for the query processing on web data warehouses.