ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

Implementing Large Production Systems in a DBMS Environment: Concepts and Algorithms.

Timos K. Sellis, Chih-Chen Lin, Louiqa Raschid: Implementing Large Production Systems in a DBMS Environment: Concepts and Algorithms. SIGMOD Conference 1988: 404-412
@inproceedings{DBLP:conf/sigmod/SellisLR88,
  author    = {Timos K. Sellis and
               Chih-Chen Lin and
               Louiqa Raschid},
  editor    = {Haran Boral and
               Per-{\AA}ke Larson},
  title     = {Implementing Large Production Systems in a DBMS Environment:
               Concepts and Algorithms},
  booktitle = {Proceedings of the 1988 ACM SIGMOD International Conference on
               Management of Data, Chicago, Illinois, June 1-3, 1988},
  publisher = {ACM Press},
  year      = {1988},
  pages     = {404-412},
  ee        = {http://doi.acm.org/10.1145/50202.50251, db/conf/sigmod/SellisLR88.html},
  crossref  = {DBLP:conf/sigmod/88},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

It has been widely recognized that many future database applications, including engineering processes, manufacturing and communications, will require some kind of rule based reasoning. In this paper we study methods for storing and manipulating large rule bases using relational database management systems. First, we provide a matching algorithm which can be used to efficiently identify applicable rules. The second contribution of this paper, is our proposal for concurrent execution strategies which surpass, in terms of performance, the sequential OPS5 execution algorithm. The proposed method is fully parallelizable, which makes its use even more attractive, as it can be used in parallel computing environments.

Copyright © 1988 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Haran Boral, Per-Åke Larson (Eds.): Proceedings of the 1988 ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, June 1-3, 1988. ACM Press 1988 BibTeX , SIGMOD Record 17(2), June 1988
Contents

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References

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Referenced by

  1. Eric N. Hanson, Chris Carnes, Lan Huang, Mohan Konyala, Lloyd Noronha, Sashi Parthasarathy, J. B. Park, Albert Vernon: Scalable Trigger Processing. ICDE 1999: 266-275
  2. Luigi Palopoli, Riccardo Torlone: Generalized Production Rules as a Basis for Integrating Active and Deductive Databases. IEEE Trans. Knowl. Data Eng. 9(6): 848-862(1997)
  3. Louiqa Raschid, Jorge Lobo: Semantics for Update Rule Programs and Implementations in a Relational Database Management System. ACM Trans. Database Syst. 21(4): 526-571(1996)
  4. Jennifer Widom: The Starburst Active Database Rule System. IEEE Trans. Knowl. Data Eng. 8(4): 583-595(1996)
  5. H. V. Jagadish, Alberto O. Mendelzon, Inderpal Singh Mumick: Managing Rule Conflicts in an Active Database. PODS 1996: 192-201
  6. Jennifer Widom, Stefano Ceri (Eds.): Active Database Systems: Triggers and Rules For Advanced Database Processing. Morgan Kaufmann 1996, ISBN 1-55860-304-2
    Contents
  7. Wen-Chi Hou, Zhongyang Zhang: Enhancing Database Correctness: a Statistical Approach. SIGMOD Conference 1995: 223-232
  8. Elena Baralis, Jennifer Widom: An Algebraic Approach to Rule Analysis in Expert Database Systems. VLDB 1994: 475-486
  9. Timos K. Sellis, Chih-Chen Lin, Louiqa Raschid: Coupling Production Systems and Database Systems: A Homogeneous Approach. IEEE Trans. Knowl. Data Eng. 5(2): 240-256(1993)
  10. Françoise Fabret, Mireille Régnier, Eric Simon: An Adaptive Algorithm for Incremental Evaluation of Production Rules in Databases. VLDB 1993: 455-466
  11. Nabil Kamel, Roger King: Intelligent Database Caching Through the Use of Page-Answers and Page-Traces. ACM Trans. Database Syst. 17(4): 601-646(1992)
  12. Alexander J. Pasik: A Source-to-Source Transformation for Increasing Rule-Based System Parallelism. IEEE Trans. Knowl. Data Eng. 4(4): 336-343(1992)
  13. Françoise Fabret, Mireille Régnier, Eric Simon: Optimizing Incremental Computation of Datalog Programs with Non-deterministic Semantics. ICDT 1992: 155-170
  14. Ing-Miin Hsu, Mukesh Singhal, Ming T. Liu: Distributed Rule Processing in Active Databases. ICDE 1992: 106-113
  15. Jennifer Widom, Roberta Cochrane, Bruce G. Lindsay: Implementing Set-Oriented Production Rules as an Extension to Starburst. VLDB 1991: 275-285
  16. Ulf Schreier, Hamid Pirahesh, Rakesh Agrawal, C. Mohan: Alert: An Architecture for Transforming a Passive DBMS into an Active DBMS. VLDB 1991: 469-478
  17. Narain H. Gehani, H. V. Jagadish: Ode as an Active Database: Constraints and Triggers. VLDB 1991: 327-336
  18. Rakesh Agrawal, Roberta Cochrane, Bruce G. Lindsay: On Maintaining Priorities in a Production Rule System. VLDB 1991: 479-487
  19. Douglas N. Gordin, Alexander J. Pasik: Set-Oriented Constructs: From Rete Rule Bases to Database Systems. SIGMOD Conference 1991: 60-67
  20. Arie Segev, J. Leon Zhao: Evaluation of Rule Processing Strategies In Expert Databases. ICDE 1991: 404-412
  21. Jennifer Widom, Sheldon J. Finkelstein: Set-Oriented Production Rules in Relational Database Systems. SIGMOD Conference 1990: 259-270
  22. Jaideep Srivastava, Kuo-Wei Hwang, Jack S. Eddy Tan: Parallelism in Database Production Systems. ICDE 1990: 121-128
  23. Zvi M. Kedem, Alexander Tuzhilin: Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models. PODS 1989: 336-346
  24. Alexander Tuzhilin, Zvi M. Kedem: Querying and Controlling the Future Behaviour of Complex Objects. ICDE 1989: 434-442
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