Tagged generalized stochastic petri nets

Gianfranco Balbo, Massimiliano De Pierro, Giuliana Franceschinis

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

Abstract

This paper introduces an extension of the Generalized Stochastic Petri Net (GSPN) formalism in order to enable the computation of first passage time distributions of tokens. A "tagged token" technique is used which relies on net's structural properties to guide the correct specification of this extension. The extended model is suited for an automatic translation into an ordinary GSPN that can be used for the first passage time analysis. Scheduling policies of tokens in places, that are neglected in ordinary GSPNs, become relevant in the Tagged Generalized Stochastic Petri Net (TGSPN) formalism and specific submodels are proposed which are then used during the translation from TGSPNs to ordinary GSPNs. A running example inspired by a Flexible Manufacturing application is used throughout the paper to introduce the different concepts and to provide evidence of the relevance of the results.

Original languageEnglish
Title of host publicationComputer Performance Engineering - 6th European Performance Engineering Workshop, EPEW 2009, Proceedings
Pages1-15
Number of pages15
DOIs
Publication statusPublished - 2009
Event6th European Performance Engineering Workshop, EPEW 2009 - London, United Kingdom
Duration: 9 Jul 200910 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5652 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th European Performance Engineering Workshop, EPEW 2009
Country/TerritoryUnited Kingdom
CityLondon
Period9/07/0910/07/09

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