Advertisement

Dynamic Input/Output Automata: A Formal Model for Dynamic Systems

Extended Abstract
  • Paul C. Attie
  • Nancy A. Lynch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2154)

Abstract

We present a mathematical state-machine model, the Dynamic I/O Automaton (DIOA) model, for defining and analyzing dynamic systems of interacting components. The systems we consider are dynamic in two senses: (1) components can be created and destroyed as computation proceeds, and (2) the events in which the components may participate may change. The new model admits a notion of external system behavior, based on sets of traces. It also features a parallel composition operator for dynamic systems, which respects external behavior, and a notion of simulation from one dynamic system to another, which can be used to prove that one system implements the other.

The DIOA model was defined to support the analysis of mobile agent systems, in a joint project with researchers at Nippon Telephone and Telegraph. It can also be used for other forms of dynamic systems, such as systems described by means of object-oriented programs, and systems containing services with changing access permissions.

Keywords

Transition Relation Forward Simulation Simulation Relation Computation Proceeds Universal Signature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Tadashi Araragi, Paul Attie, Idit Keidar, Kiyoshi Kogure, Victor Luchangco, Nancy Lynch, and Ken Mano. On formal modeling of agent computations. In NASA Workshop on Formal Approaches to Agent-Based Systems, Apr. 2000. To appear in Springer LNCS.Google Scholar
  2. 2.
    Paul Attie and Nancy Lynch. Dynamic input/output automata: a formal model for dynamic systems. Technical report, Northeastern University, Boston, Mass., 2001. Available at http://www.ccs.neu.edu/home/attie/pubs.html.Google Scholar
  3. 3.
    P.C. Attie. Liveness-preserving simulation relations. In Proceedings of the 18’th Annual ACM Symposium on Principles of Distributed Computing, pages 63–72, 1999.Google Scholar
  4. 4.
    Luca Cardelli and Andrew D. Gordon. Mobile ambients. Theoretical Computer Science, 240(1):177–213, 2000.zbMATHCrossRefMathSciNetGoogle Scholar
  5. 5.
    Cedric Fournet, Georges Gonthier, Jean-Jacques Levy, Luc Maranget, and Didier Remy. A calculus of mobile agents. In Proceedings of the 7th International Conference on Concurrency Theory (CONCUR’96), Springer-Verlag, LNCS 1119, pages 406–421, Aug. 1996.Google Scholar
  6. 6.
    Joseph Y. Halpern and Yoram Moses. Knowledge and Common Knowledge in a Distributed Environment. In Proceedings of the 3’rd Annual ACM Symposium on Principles of Distributed Computing, pages 50–61, 1984.Google Scholar
  7. 7.
    Nancy Lynch and Mark Tuttle. An introduction to Input/Output automata. CWI-Quarterly, 2(3):219–246, September 1989. Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands. Also, Technical Memo MIT/LCS/TM-373, Laboratory for Computer Science, Massachusetts Institute of Technology.Google Scholar
  8. 8.
    Nancy Lynch, Michael Merritt, William Weihl, and Alan Fekete. Atomic Transactions. Morgan Kaufmann, 1994.Google Scholar
  9. 9.
    R. Milner. Communicating and mobile systems: the pg-calculus. Addison-Wesley, Reading, Mass., 1999.Google Scholar
  10. 10.
    J. Riely and M. Hennessy. A typed language for distributed mobile processes. In Proceedings of the 25th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 1998.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Paul C. Attie
    • 1
    • 2
  • Nancy A. Lynch
    • 2
  1. 1.College of Computer ScienceNortheastern UniversityBoston
  2. 2.MIT Laboratory for Computer ScienceCambridgeUSA

Personalised recommendations