• DocumentCode
    1048425
  • Title

    Shortening matching time in OPS5 production systems

  • Author

    Kang, Jeong A. ; Cheng, Albert Mo Kim

  • Author_Institution
    Humax Co. Ltd., South Korea
  • Volume
    30
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    448
  • Lastpage
    457
  • Abstract
    A rule-based system must satisfy stringent timing constraints when applied to a real-time environment. As the scale of rule-based expert systems increases, the efficiency of systems becomes a pressing concern. The most critical performance factor in the implementation of a production system is the condition-testing algorithm. We propose a new method based on the widely used RETE match algorithm. We show an approach designed to reduce the response time of rule-based expert systems by reducing the matching time. There are two steps in the method we propose: The first makes an index structure of the tokens to reduce the α-node-level join candidates. The second chooses the highest time tag for certain β-nodes to reduce the amount of combinatorial match that is problematical in a real-time production system application. For this purpose, a simple compiler is implemented in C and the response time of test programs is measured.
  • Keywords
    expert systems; optimising compilers; program testing; real-time systems; α-node-level join candidates; OPS5 production system; RETE match algorithm; condition-testing algorithm; knowledge-based systems; program compiler; real-time environment; rule-based expert systems; test programs; Delay; Expert systems; Knowledge based systems; Pressing; Production systems; Program processors; Real time systems; Testing; Time measurement; Timing; Matching; OPS5; Rete; expert systems; knowledge-based systems; response time.; rule-based systems;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/TSE.2004.32
  • Filename
    1318606