IDEAS home Printed from https://ideas.repec.org/a/igg/jdst00/v7y2016i3p21-41.html
   My bibliography  Save this article

Towards an Optimal Generation of Zones Graph Relating Timed Bisimulation Relation and Distribution

Author

Listed:
  • Matmat Riadh

    (MISC Laboratory, Abdelhamid Mehri Constantine 2 University, Constantine, Algeria)

  • Kitouni Ilham

    (MISC Laboratory, Abdelhamid Mehri Constantine 2 University, Constantine, Algeria)

  • Saidouni Djamel Eddine

    (MISC Laboratory, Abdelhamid Mehri Constantine 2 University, Constantine, Algeria)

Abstract

The timed automata are extensively used in different fields of formal validation in particular the model checking one. In this paper the authors are interested by a class of TA called durational actions timed automata (daTA) and the zones graph which represents an exact finite state abstraction based on what called Zones. The authors present a novel approach to construct a zone graph, based on the maximality semantics called maximality-based zone graph (MZG) by a local construction approach and they define timed maximality bisimulation relation for real-time model based on the maximality semantics. The authors propose a new method for distributed state space generation of maximality-based zone graph based on DHT structure. They also describe an implementation of this construction (DTaMaZG tool). The experiments given at the end of this article has shown good results especially when comparing with other works that have already proceed in the distributed generation of MLTS (Maximality based Labeled Transition Systems).

Suggested Citation

  • Matmat Riadh & Kitouni Ilham & Saidouni Djamel Eddine, 2016. "Towards an Optimal Generation of Zones Graph Relating Timed Bisimulation Relation and Distribution," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 7(3), pages 21-41, July.
  • Handle: RePEc:igg:jdst00:v:7:y:2016:i:3:p:21-41
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDST.2016070102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdst00:v:7:y:2016:i:3:p:21-41. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.