Konferenzbeitrag
Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes
Lade...
Volltext URI
Dokumententyp
Text/Conference Paper
Zusatzinformation
Datum
2018
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Verlag
Köllen Druck+Verlag GmbH
Zusammenfassung
Generalized Stochastic Petri Nets (GSPNs) can be used for performance analysis of
business processes. Recently, it was shown that foldings of a GSPN, i.e., a set of model reduction rules, help to avoid over-fitting of the model with respect to the performance characteristics of a process. Yet, these foldings ignore the marking of a GSPN and, thus, are applicable solely for steady-state analysis. In this paper, we discuss how foldings may be lifted to marked nets and provide an assessment of stateful foldings for sequential GSPNs.