Optimizations enabled by a relational data model view to querying data streams
Optimizations enabled by a relational data model view to querying data streams
复制标题
通过关系数据模型视图实现对数据流查询的优化
DOI：
10.1109/ipdps.2001.924953
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
K. Schwan
中科院分区：
文献类型：
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作者：
Beth Plale;K. Schwan
我们假设，SQL查询关系数据库的普及和效率，使语言从数据流中检索数据的一个可行的解决方案。作为回应，我们已经开发了一个系统，dQUOB，它使用SQL查询提取数据流数据在真实的时间。科学可视化等应用程序的高性能需求促使我们寻求优化以提高查询评估效率。本文的目的是讨论我们已经实现了独特的优化，从数据库的角度来看，流数据，并显示增强的概念模型，查看数据流的关系，有合理的开销。
We postulate that the popularity and efficiency of SQL for querying relational databases makes the language a viable solution to retrieving data from data streams. In response, we have developed a system, dQUOB, that uses SQL queries to extract data from streaming data in real time. The high performance needs of applications such as scientific visualization motivates our search for optimizations to improve query evaluation efficiency. The purpose of this paper is to discuss the unique optimizations we have realized by a database point of view to streaming data and to show that the enhanced conceptual model of viewing data streams as relations has reasonable overhead.