On-Line detection and prediction of temporal patterns

  • Authors:
  • Shlomi Dolev;Jonathan Goldfeld;Rami Puzis

  • Affiliations:
  • Department of Computer Science, Ben-Gurion University, Beer-Sheva, Israel,Deutsche Telekom Laboratories, Ben-Gurion University, Beer-Sheva, Israel;Department of Computer Science, Ben-Gurion University, Beer-Sheva, Israel,Deutsche Telekom Laboratories, Ben-Gurion University, Beer-Sheva, Israel;Deutsche Telekom Laboratories, Ben-Gurion University, Beer-Sheva, Israel,Department of Information Systems Engineering, Ben-Gurion University, Beer-Sheva, Israel

  • Venue:
  • HVC'11 Proceedings of the 7th international Haifa Verification conference on Hardware and Software: verification and testing
  • Year:
  • 2011

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Abstract

Identifying a temporal pattern of events is a fundamental task of on-line (real-time) verification. In this work we present efficient schemes for on-line monitoring of events for identifying predefined patterns of events. The schemes use preprocessing to ensure that the number of comparisons during run-time is minimized. In particular, obsoloete sub-sequences are discarded to avoid unnecessary comparisons.We use our monitoring scheme for estimating the probability that a random suffix of a given execution will contain the pattern.