Markov nets: probabilistic models for distributed and concurrent systems

  title={Markov nets: probabilistic models for distributed and concurrent systems},
  author={Albert Benveniste and Eric Fabre and Stefan Haar},
  journal={IEEE Trans. Automat. Contr.},
For distributed systems, i.e., large complex networked systems, there is a drastic difference between a local view and knowledge of the system, and its global view. Distributed systems have local state and time, but do not possess global state and time in the usual sense. In this paper, motivated by the monitoring of distributed systems and in particular of telecommunications networks, we develop a generalization of Markov chains and hidden Markov models (Hmm) for distributed and concurrent… CONTINUE READING
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