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2 Fundamenta Informaticae

2 2016

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Petri Nets with Structured Data

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Badouel E. , Hélouët L. , Morvan C.

Fundamenta Informaticae

2016

tom Vol. 146, nr 1

35--82

This paper considers Structured Data Nets (StDN): a Petri net extension that describes open systems with data. The objective of this language is to serve as a formal basis for the analysis of systems that use data, accept inputs from their environment, and implement complex workflows. In StDNs, tokens are structured documents. Each transition is attached to a query, guarded by patterns, (logical assertions on the contents of its preset) and transforms tokens. We define StDNs and their semantics. We then consider their formal properties: coverability of a marking, termination and soundness of transactions. Unrestricted StDNs are Turing complete, so coverability, termination and soundness are undecidable for StDNs. However, using an order on documents, and putting reasonable restrictions both on the expressiveness of patterns and queries and on the documents, we show that StDNs are well-structured transition systems, for which coverability, termination and soundness are decidable. We then show the expressive power of StDN on a case study, and compare StDNs and their decidable subclasses with other types of high-level nets and other formalisms adapted to data-centric approaches or to workflows design.

Robustness of Time Petri Nets under Guard Enlargement

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Akshay S. , Jard C. , Hélouët L. , Reynier P.-A.

Fundamenta Informaticae

2016

tom Vol. 143, nr 3/4

207--234

Robustness of timed systems aims at studying whether infinitesimal perturbations in clock values can result in new discrete behaviors. A model is robust if the set of discrete behaviors is preserved under arbitrarily small (but positive) perturbations. We tackle this problem for time Petri nets (TPNs, for short) by considering the model of parametric guard enlargement which allows time-intervals constraining the firing of transitions in TPNs to be enlarged by a (positive) parameter. We show that TPNs are not robust in general and checking if they are robust with respect to standard properties (such as boundedness, safety) is undecidable. We then extend the marking class timed automaton construction for TPNs to a parametric setting, and prove that it is compatible with guard enlargements. We apply this result to the (undecidable) class of TPNs which are robustly bounded (i.e., whose finite set of reachable markings remains finite under infinitesimal perturbations): we provide two decidable robustly bounded subclasses, and show that one can effectively build a timed automaton which is timed bisimilar even in presence of perturbations. This allows us to apply existing results for timed automata to these TPNs and show further robustness properties.