Parametric stochastic well-formed nets and compositional modelling

Paolo Ballarini, Susanna Donatelli, Giuliana Franceschinis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Colored nets have been recognized as a powerful modelling paradigm for the validation and evaluation of systems, both in terms of compact representation and aggregate state space generation. In this paper we discuss the issue of adding compositionality to a class of stochastic colored nets named Stochastic Well-formed Nets, in order to increase modularity and reuse of the modelling efforts. This requires the notion of Parametric Stochastic Well-formed net: nets in which a certain amount of information is left unspecified, and is instantiated only upon model composition. The choice of the compositional rule has been based on previous work on layered models for integrated hardware and software systems (the processes, services and resources methodology), and an example of layered modelling with Parametric Stochastic Well-formed net is presented to show the efficacy of the proposed formalism.

Original languageEnglish
Title of host publicationApplication and Theory of Petri Nets 2000 - 21st International Conference, ICATPN 2000, Proceedings
EditorsMogens Nielsen, Dan Simpson
PublisherSpringer Verlag
Pages43-62
Number of pages20
ISBN (Print)3540676937, 9783540676935
DOIs
Publication statusPublished - 2000
Event21st International Conference on Application and Theory of Petri Nets, ICATPN 2000 - Aarhus, Denmark
Duration: 26 Jun 200030 Jun 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1825
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Application and Theory of Petri Nets, ICATPN 2000
Country/TerritoryDenmark
CityAarhus
Period26/06/0030/06/00

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