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Summarization Method for Multiple Sliding Window Aggregate Queries

机译:多滑动窗口聚合查询的摘要方法

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摘要

The data stream management systems use continuous queries. The continuous query has a independent queue per each query. This situation causes to use much duplicate memories. To solve this problem, there are two resource sharing methods which are the tree based method and Pane. However, the tree based method has to retrieve all level to get query result and the Pane cannot process time-based and tuple-based query simultaneously. In this paper, we propose linear resource sharing method to reduce memory usage and to improve query processing on running tuple-based query and time-based query.
机译:数据流管理系统使用连续查询。连续查询每个查询都有一个独立的队列。这种情况导致使用大量重复的记忆。要解决此问题,有两个资源共享方法是基于树的方法和窗格。但是,基于树的方法必须检索所有级别以获取查询结果,并且窗格无法同时处理基于时间和基于元组的查询。在本文中,我们提出了线性资源共享方法来减少内存使用率,并提高基于元组的查询和基于时间的查询的查询处理。

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