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Monitoring Streams: A New Class of Data Management Applicationsby: Don Carney, U\ugur \ccetintemel, Mitch Cherniack, Christian Convey, Sangdon Lee, Greg Seidman, Michael Stonebraker, Nesime Tatbul, Stan Zdonik
In VLDB '02: Proceedings of the 28th international conference on Very Large Data Bases (2002), pp. 215-226.
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AbstractThis paper introduces monitoring applications, which we will show 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 that is currently under construction at Brandeis University, Brown University, and M.I.T. We describe the basic system architecture, a stream-oriented set of operators, optimization tactics, and support for real-time operation.
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