On Supporting Kleene Closure over Event Streams

  • Authors:
  • Daniel Gyllstrom;Jagrati Agrawal;Yanlei Diao;Neil Immerman

  • Affiliations:
  • Department of Computer Science, University of Massachusetts Amherst, USA. dpg@cs.umass.edu;Department of Computer Science, University of Massachusetts Amherst, USA. jagrati@cs.umass.edu;Department of Computer Science, University of Massachusetts Amherst, USA. yanlei@cs.umass.edu;Department of Computer Science, University of Massachusetts Amherst, USA. immerman@cs.umass.edu

  • Venue:
  • ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
  • Year:
  • 2008

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Abstract

Complex event patterns involving Kleene closure are finding application in a variety of stream environments for tracking and monitoring purposes. In this paper, we propose a compact language, SASE+, that can be used to define a wide variety of Kleene closure patterns, analyze the expressive power of the language, and outline an automata-based implementation for efficient Kleene closure evaluation over event streams.