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Computing Structural Properties of Symmetric Nets

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Quantitative Evaluation of Systems (QEST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9259))

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Abstract

Structural properties of Petri Nets (PN) have an important role in the process of model validation and analysis. When considering Stochastic PNs, comprising stochastic timed and immediate transitions, structural analysis becomes a fundamental step in net-level definition of probabilistic parameters. High Level PN (HLPN) structural analysis still poses many problems and is often based on the unfolding of the HLPN model: this approach prevents the exploitation of model behavioural symmetries. A more effective alternative approach consists in providing a language, along with an associated calculus, making it possible to derive expressions defining structural relations among node instances of a HLPN model in a symbolic and parametric form: this has been proposed in the literature for Symmetric Nets (SN). The goal of the present paper is to summarize the language defined to express SNs’ structural relations and to formalize the derivation of a basic set of such relations; in particular the algorithms to compute the Structural Mutual Exclusion relation and the symmetric and transitive closure of Structural Conflict are an original contribution of this paper. Examples of applications are also included. The algorithms required to support the calculus for symbolic structural relations computation have been recently completed and implemented in a tool called SNexpression.

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Notes

  1. 1.

    In the Stochastic SN formalism white transitions are timed, black transitions are immediate and have priority over the timed ones.

  2. 2.

    This is due to the way conflicts among enabled immediate transitions are probabilistically solved, by normalization of their weights to obtain the probabilities.

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Correspondence to Giuliana Franceschinis .

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Capra, L., De Pierro, M., Franceschinis, G. (2015). Computing Structural Properties of Symmetric Nets. In: Campos, J., Haverkort, B. (eds) Quantitative Evaluation of Systems. QEST 2015. Lecture Notes in Computer Science(), vol 9259. Springer, Cham. https://doi.org/10.1007/978-3-319-22264-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-22264-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22263-9

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