Probabilistic Real-Time Rewrite Theories and Their Expressive Power

  • Lucian Bentea
  • Peter Csaba Ölveczky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6919)

Abstract

Unbounded data structures, advanced data types, and/or different forms of communication are often needed to model large and complex probabilistic real-time systems such as wireless sensor networks. Furthermore, it is often natural to model such systems in an object-oriented style, using subclass inheritance and dynamic object and message creation and deletion. To support the above features, we introduce probabilistic real-time rewrite theories (PRTRTs), that extend both real-time rewrite theories and probabilistic rewrite theories, as a rewriting-logic-based formalism for probabilistic real-time systems. We then show that PRTRTs can be seen as a unifying model in which a range of other models for probabilistic real-time systems—including probabilistic timed automata, stochastic automata, deterministic and stochastic Petri nets, as well as two probabilistic timed transition system models with underspecified probability distributions—can naturally be represented.

Keywords

Model Check Round Trip Time Stochastic Transition Nondeterministic Choice Probabilistic Model Check 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Lucian Bentea
    • 1
  • Peter Csaba Ölveczky
    • 1
  1. 1.Department of InformaticsUniversity of OsloNorway

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