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Characterizing Memory Requirements for Queries Over Continuous Data Streams

机译:表征连续数据流上查询的内存需求

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摘要

This article deals with continuous conjunctive queries with arithmetic comparisons and optional aggregation over multiple data streams. An algorithm is presented for determining whether or not any given query can be evaluated using a bounded amount of memory for all possible instances of the data streams. For queries that can be evaluated using bounded memory, an execution strategy based on constant-sized synopses of the data streams is proposed. For queries that cannot be evaluated using bounded memory, data stream scenarios are identified in which evaluating the queries requires memory linear in the size of the unbounded streams.
机译:本文通过算术比较和多个数据流上的可选聚合处理连续的联合查询。提出了一种算法,用于确定是否可以对数据流的所有可能实例使用有限的内存量来评估任何给定查询。对于可以使用有限内存进行评估的查询,提出了一种基于数据流恒定大小概要的执行策略。对于无法使用有限内存进行查询的查询,将确定数据流方案,在这种情况下,对查询进行评估需要与无限制流大小呈线性关系的内存。

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