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Continuous Queries over Data Streams (2001)

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by Shivnath Babu , Jennifer Widom
Citations:308 - 10 self
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BibTeX

@MISC{Babu01continuousqueries,
    author = {Shivnath Babu and Jennifer Widom},
    title = { Continuous Queries over Data Streams},
    year = {2001}
}

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Abstract

In many recent applications, data may take the form of continuous data streams, rather than finite stored data sets. Several aspects of data management need to be re-considered in the presence of data streams, offering a new research direction for the database community. In this pa-per we focus primarily on the problem of query processing, specifically on how to define and evaluate continuous queries over data streams. We address semantic issues as well as efficiency concerns. Our main contributions are threefold. First, we specify a general and flexible architecture for query processing in the presence of data streams. Second, we use our basic architecture as a tool to clarify alternative semantics and processing techniques for continuous queries. The architecture also captures most previous work on continuous queries and data streams, as

Keyphrases

data stream    continuous query    query processing    stored data set    many recent application    alternative semantics    new research direction    efficiency concern    several aspect    semantic issue    basic architecture    database community    continuous data stream    previous work    flexible architecture    main contribution    data management need   

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