MOBY: An Architecture for Distributed Expert Database Systems.

Jonathan Bein, Roger King: MOBY: An Architecture for Distributed Expert Database Systems. VLDB 1987: 13-20
  author    = {Jonathan Bein and
               Roger King},
  editor    = {Peter M. Stocker and
               William Kent and
               Peter Hammersley},
  title     = {MOBY: An Architecture for Distributed Expert Database Systems},
  booktitle = {VLDB'87, Proceedings of 13th International Conference on Very
               Large Data Bases, September 1-4, 1987, Brighton, England},
  publisher = {Morgan Kaufmann},
  year      = {1987},
  isbn      = {0-934613-46-X},
  pages     = {13-20},
  ee        = {db/conf/vldb/BeinK87.html},
  crossref  = {DBLP:conf/vldb/87},
  bibsource = {DBLP,}


In this paper, we consider MOBY, a distributed architecture to support the development of expert database systems in a rule based language. It combines standard indexing and horizontal data partitioning techniques with a rule based interpreter to achieve the reasonable performance. The major difficulty in developing this architecture is to maintain a high effective parallelism as the number of processors increases. Analytic results suggest that when data is reasonably well balanced across a local area network, MOBY has a high effective parallelism. Simulation results support this claim by showing that the effective parallelismis proportional to 40% of the number of processors. A discussion of some crucial issues in our current network based implementation is also given.

Copyright © 1987 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Online Paper

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Printed Edition

Peter M. Stocker, William Kent, Peter Hammersley (Eds.): VLDB'87, Proceedings of 13th International Conference on Very Large Data Bases, September 1-4, 1987, Brighton, England. Morgan Kaufmann 1987, ISBN 0-934613-46-X
Contents BibTeX


Michael L. Brodie, Matthias Jarke: On Integrating Logic Programming and Databases. Expert Database Workshop 1984: 191-207 BibTeX
Stefano Ceri, Shamkant B. Navathe, Gio Wiederhold: Distribution Design of Logical Database Schemas. IEEE Trans. Software Eng. 9(4): 487-504(1983) BibTeX
Stavros Christodoulakis: Implications of Certain Assumptions in Database Performance Evaluation. ACM Trans. Database Syst. 9(2): 163-186(1984) BibTeX
James P. Held, John V. Carlis: MATCH - A New High-Level Relational Operator For Pattern Matching. Commun. ACM 30(1): 62-75(1987) BibTeX
Matthias Jarke, Jürgen Koch: Query Optimization in Database Systems. ACM Comput. Surv. 16(2): 111-152(1984) BibTeX
John P. McDermott: R1: A Rule-Based Configurer of Computer Systems. Artif. Intell. 19(1): 39-88(1982) BibTeX
Domenico Saccà, Gio Wiederhold: Database Partitioning in a Cluster of Processors. ACM Trans. Database Syst. 10(1): 29-56(1985) BibTeX
Jeffrey D. Ullman: Principles of Database Systems, 2nd Edition. Computer Science Press 1982, ISBN 0-914894-36-6
Gian Piero Zarri: Constructing and Utilizing Large Fact Databases Using Artificial Intelligence techniques. Expert Database Workshop 1984: 141-160 BibTeX

Referenced by

  1. 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)
  2. Stefano Ceri, Jennifer Widom: Production Rules in Parallel and Distributed Database Environments. VLDB 1992: 339-351
  3. David A. Brant, Timothy Grose, Bernie J. Lofaso, Daniel P. Miranker: Effects of Database Size on Rule System Performance: Five Case Studies. VLDB 1991: 287-296
  4. Daniel P. Miranker, David A. Brant: An Algorithmic Basis for Integrating Production Systems and Large Databases. ICDE 1990: 353-360
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