Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Active Database Execution Model

  • Mikael BerndtssonEmail author
  • Jonas Mellin
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_509


The execution model of an active database describes how a set of ECA rules behave at run time.

Key Points

The execution model describes how a set of ECA rules (i.e., active database rule base) behave at run time [2, 4]. Any execution model of an active database must have support for (i) detecting event occurrences, (ii) evaluating conditions, and (iii) executing actions.

If an active database supports composite event detection, it needs a policy that describes how a composite event is computed. A typical approach is to use the event consumption modes as described in Snoop [1]: recent, chronicle, continuous, and cumulative. In the recent event context, only the most recent constituent events will be used to form composite events. In the chronicle event context, events are consumed in chronicle order. The earliest unused initiator/terminator pair are used to form the composite event. In the continuous event context, each initiator starts the detection of a new composite...

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Recommended Reading

  1. 1.
    Chakravarthy S, Krishnaprasad V, Anwar E, Kim SK. Composite events for active databases: semantics contexts and detection. In: Proceedings of the 20th International Conference on Very Large Data Bases; 1994. p. 606–17.Google Scholar
  2. 2.
    Dayal U, Blaustein B, Buchmann A, Chakravarthy S. et al. HiPAC: a research project in active, time-constrained database management. Technical report CCA-88-02. Cambridge: Xerox Advanced Information Technology; 1988.Google Scholar
  3. 3.
    Gehani N, Jagadish HV, Smueli O. Event specification in an active object-oriented database. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1992. p. 81–90.Google Scholar
  4. 4.
    Paton NW, Diaz O. Active Database Systems. ACM Comput. Surv. 1999;31(1):63–103.CrossRefGoogle Scholar
  5. 5.
    Widom J, Finkelstein S. Set-oriented production rules in relational database systems. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1990. p. 259–70.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of Skövde, The Informatics Research CentreSkövdeSweden
  2. 2.University of Skövde, School of InformaticsSkövdeSweden

Section editors and affiliations

  • M. Tamer Özsu
    • 1
  1. 1.Cheriton School of Computer ScienceUniversity of WaterlooWaterlooCanada