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一种具有服务质量支持的数据访问方法
引用本文:庞雄文,鲍苏苏,李冬.一种具有服务质量支持的数据访问方法[J].华南理工大学学报(自然科学版),2009,37(10).
作者姓名:庞雄文  鲍苏苏  李冬
作者单位:华南师范大学,计算机学院,广东,广州,510631
基金项目:国家自然科学基金资助项目 
摘    要:针对目前的查询优化技术并没有考虑网格环境中数据源的动态特征,导致数据访问质量很差的问题,文中提出了网格环境中具有服务质量(QoS)支持的数据访问方法.它能在查询优化的过程中考虑数据源的动态特征以及用户的QoS要求,根据用户的QoS要求选择不同的查询执行计划;文中还提出了基于管道并行方式的分层管道树来对多连接表达式进行优化,它不仅可以提高并行度而且可以尽快返回部分结果给用户.实验结果表明,文中提出的方法是有效的,可以为不同类型的用户提供不同等级的数据访问服务.

关 键 词:数据访问  网格环境  服务质量  查询优化  分层管道树

A QoS-Based Approach to Data Access
Pang Xiong-wen,Bao Su-su,Li Dong.A QoS-Based Approach to Data Access[J].Journal of South China University of Technology(Natural Science Edition),2009,37(10).
Authors:Pang Xiong-wen  Bao Su-su  Li Dong
Abstract:The data access on grid is of low quality because the existing query optimization techniques do not consider the dynamic properties of data resources in grid environments. In order to solve this problem, a QoS (Quality of Service)-based approach to data access is proposed, which considers not only the dynamic properties of data resources but also the QoS goals of users, and selects generated query plans according to the QoS goals of users. Moreover, a segmented pipe tree based on the pipelined parallelism is presented to optimize multi-join queries, which not only improves the parallelism but also returns some results to users as soon as possible. Experimental results show that the proposed approach is effective in providing data access at different levels for different users.
Keywords:data access  grid environment  quality of service  query optimization  segmented pipe tree
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