An analytical performance model for parallel production systems

J. H. Wang, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Parallel rule firing approaches have been proposed to improve the performance of production systems. However, few performance models have been developed to measure the performance of parallel rule firing approaches. We develop an analytical model for parallel production systems, where rule firing is modeled as a transaction. Both resource contention and data contention are modeled in detail and the performance of locking based, and optimistic approaches is analyzed. We show thal significant speedup can be gained in parallel rule execution. Our main contribution are the insights into parallel rule firing provided by parametric model.

Original languageEnglish
Title of host publication4th International Conference on Tools with Artificial Intelligence, ICTAI 1992
PublisherIEEE Computer Society
Pages362-369
Number of pages8
ISBN (Electronic)0818629053
DOIs
Publication statusPublished - 1 Jan 1992
Externally publishedYes
Event4th International Conference on Tools with Artificial Intelligence, ICTAI 1992 - Arlington, United States
Duration: 10 Nov 199213 Nov 1992

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume1992-November
ISSN (Print)1082-3409

Conference

Conference4th International Conference on Tools with Artificial Intelligence, ICTAI 1992
CountryUnited States
CityArlington
Period10/11/9213/11/92

Keywords

  • Analytical Model
  • Performance Analysis
  • Production Systems
  • Queueing Model
  • Two-Phase Locking, and Optimistic Approach.

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Computer Science Applications

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  • Cite this

    Wang, J. H., & Srivastava, J. (1992). An analytical performance model for parallel production systems. In 4th International Conference on Tools with Artificial Intelligence, ICTAI 1992 (pp. 362-369). [246430] (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 1992-November). IEEE Computer Society. https://doi.org/10.1109/TAI.1992.246430