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Rewriting Logic and Petri Nets: A Natural Model for Reconfigurable Distributed Systems

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Distributed Computing and Intelligent Technology (ICDCIT 2022)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13145))

Abstract

Petri Nets (PN) are a central model for concurrent or distributed systems, but not expressive enough to represent dynamically reconfigurable systems. On the other side, Rewriting Logic has proved to be a natural framework for several formal models of distributed systems. We propose an efficient Maude formalization of dynamically reconfigurable PT nets (with inhibitor arcs), using as a running example a fault-tolerant manufacturing system. We discuss the advantages of such a hybrid approach, as well as some concerns that are raised.

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Notes

  1. 1.

    A kind is an implicit equivalence class gathering all sorts connected by the subsort relation; terms having a kind but not a sort may be considered as undefined or errors.

  2. 2.

    R rules don’t apply to frozen arguments; in the paper we do not use frozen arguments.

  3. 3.

    Maude uses views to instantiate the type-parameters (theories) of a generic module to concrete modules. In this context, theories and views are very intuitive.

  4. 4.

    S and \(S'\) are isomorphic iff there are a two bijections \(\phi _p: P \rightarrow P'\), \(\phi _t: T \rightarrow T'\), preserving the edges and the initial markings.

  5. 5.

    \(\sigma \) nay be empty is u is a ground term; if r is a conditional rule \(\sigma \) may involve free variables introduced by matching equations used in the rule’s condition.

  6. 6.

    Using the LTL modules we can even check that the initial marking is a home-state.

  7. 7.

    Computed with the GreatSPN tool (github.com/greatspn/SOURCES).

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Capra, L. (2022). Rewriting Logic and Petri Nets: A Natural Model for Reconfigurable Distributed Systems. In: Bapi, R., Kulkarni, S., Mohalik, S., Peri, S. (eds) Distributed Computing and Intelligent Technology. ICDCIT 2022. Lecture Notes in Computer Science(), vol 13145. Springer, Cham. https://doi.org/10.1007/978-3-030-94876-4_9

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  • DOI: https://doi.org/10.1007/978-3-030-94876-4_9

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