Monitoring streams: a new class of data management applications

  • Authors:
  • Don Carney;Uǧur Çetintemel;Mitch Cherniack;Christian Convey;Sangdon Lee;Greg Seidman;Michael Stonebraker;Nesime Tatbul;Stan Zdonik

  • Affiliations:
  • Brown University;Brown University;Brandeis University;Brown University;Brown University;Brown University;M.I.T.;Brown University;Brown University

  • Venue:
  • VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
  • Year:
  • 2002

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Abstract

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 real-time operation.