【作者】 谷峪； 冯智博； 武珊珊； 于戈； 吕雁飞；

【Author】 Gu Yu,Feng Zhibo,Wu Shanshan,Yu Ge,and L(u|¨) Yanfei (School of Information Science and Engineering,Northeastern University,Shenyang 110004)

【机构】 东北大学信息科学与工程学院；

【摘要】 随着数据流查询处理在越来越多的领域得到应用,现有的窗口模型和处理方法已无法满足复杂的需求,需要进行模型的改进和操作的优化.提出了一种扩展的窗口模型来表达更丰富的语义,并针对该模型利用元组位置信息对连接操作的批处理过程和结果维护进行了查询的优化.在此基础上,针对用户实时需求提出一种动态Hop调整策略.实验表明,该方法在时间和空间都获得了较好的性能.更多还原

【Abstract】 As data stream query processing has been applied in more and more fields,available window model and processing approach will not meet complex demands.Therefore,the improvement of the models and operations are desired.An extended window model is proposed to express more semantics.Join operation batch processing and result maintenance have been optimized using tuples position information. On the above basis,a hop dynamic adjustment strategy is suggested to solve the real-time problem. Experiments show this method gains better performance in time and space.更多还原