TY - GEN
T1 - Computing structural properties of symmetric nets
AU - Capra, Lorenzo
AU - De Pierro, Massimiliano
AU - Franceschinis, Giuliana
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84944754911&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-22264-6_9
DO - 10.1007/978-3-319-22264-6_9
M3 - Conference contribution
AN - SCOPUS:84944754911
SN - 9783319222639
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 125
EP - 140
BT - Quantitative Evaluation of Systems - 12th International Conference, QEST 2015, Proceedings
A2 - Campos, Javier
A2 - Haverkort, Boudewijn R.
PB - Springer Verlag
T2 - 12th International Conference on Quantitative Evaluation of Systems, QEST 2015
Y2 - 1 September 2015 through 3 September 2015
ER -