Specifying and locating hierarchical patterns in event data

  • Authors:
  • Ping Xie;David Taylor

  • Affiliations:
  • Microsoft Corporation;University of Waterloo

  • Venue:
  • CASCON '04 Proceedings of the 2004 conference of the Centre for Advanced Studies on Collaborative research
  • Year:
  • 2004

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Abstract

When working with large collections of event data from a distributed application, efficient mechanisms for locating patterns of interest are of obvious practical importance. Complex patterns can most naturally be built by combining simpler patterns, but searching for such hierarchical patterns in partially ordered event data presents significant challenges. In this paper, we describe the general problem and our approach to solving it, with particular emphasis on an algorithm for constructing an appropriate closure of the events matching a sub-pattern, so that it can be used as a component at the next level of pattern matching. The work described is based on earlier work performed in the context of POET (the Partial-Order Event Tracer) from the University of Waterloo but was implemented as an Eclipse plug-in.