Monitoring Streams - A New Class of Data Management Applications

This 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 realtime operation.

• Type: Journal
• Year: 2002
• Where: VLDB
• Authors: Donald Carney, Ugur Çetintemel, Mitch Cherniack, Christian Convey, Sangdon Lee, Greg Seidman, Michael Stonebraker, Nesime Tatbul, Stanley B. Zdonik
• Keywords: Conventional Business Data, Database, Fundamental Architecture, Human Operators, VLDB 2002