Aurora: a new model and architecture for data stream management

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Aurora: a new model and architecture for data stream management (2003)

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by Daniel J. Abadi , Don Carney , Ugur Çetintemel , Mitch Cherniack , Christian Convey , Sangdon Lee , Michael Stonebraker , Nesime Tatbul , Stan Zdonik

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389 - 31 self

BibTeX

@MISC{Abadi03aurora:a,
    author = {Daniel J. Abadi and Don Carney and Ugur Çetintemel and Mitch Cherniack and Christian Convey and Sangdon Lee and Michael Stonebraker and Nesime Tatbul and Stan Zdonik},
    title = {Aurora: a new model and architecture for data stream management},
    year = {2003}
}

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Abstract

This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substantially from conventional business data processing. The fact that a software system must process and react to continual inputs from many sources (e.g., sensors) rather than from human operators requires one to rethink the fundamental architecture of a DBMS for this application area. In this paper, we present Aurora, a new DBMS currently under construction at Brandeis University, Brown University, and M.I.T. We first provide an overview of the basic Aurora model and architecture and then describe in detail a stream-oriented set of operators.

Keyphrases

data stream management new model stream-oriented set brandeis university new system brown university application area monitoring application data stream many source software system human operator conventional business data processing new dbms continual input basic aurora model fundamental architecture basic processing model

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