• DocumentCode
    2473119
  • Title

    A method to detect and remove emergent behavior caused by overgeneralization

  • Author

    Moshirpour, Mohammad ; Mireslami, Seyedehmehrnaz ; Eberlein, Armin ; Far, Behrouz H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    2469
  • Lastpage
    2474
  • Abstract
    Emergent behavior in distributed systems is a central problem that may lead to unexpected behaviors and major faults. Emergent behaviors are usually categorized into three groups: emergent behaviors occur due to scenarios incompleteness; emergent behaviors as a result of violation of a system wide policy; and emergent behaviors as a result of synthesis of behavior models. In this paper, a technique for addressing the latter group is proposed. The technique prevents from overgeneralization in the behavior model synthesis. Overgeneralization happens as the result of behavior model synthesis and depends on the assumptions of the process. In addition, the proposed technique addresses the issue of the existing ad-hoc methodologies by providing an automated algorithm. This algorithm can be used by a syntax checker to automatically detect and correct the emergent behaviors in the scenarios. The proposed algorithm is validated using a case study of a fleet management system.
  • Keywords
    distributed processing; ad-hoc methodology; behavior model synthesis; distributed system; emergent behavior detection; emergent behavior removal; fleet management system; syntax checker; system wide policy violation; Algorithm design and analysis; Automata; Educational institutions; Merging; Meteorology; Real-time systems; Servers; Distributed systems; Emergent behavior; Message sequence chart; Overgeneralization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6378114
  • Filename
    6378114