Abstract
Generalised Stochastic Petri Nets (GSPNs) are a popular modelling formalism for performance and dependability analysis. Their semantics is traditionally associated to continuous-time Markov chains (CTMCs), enabling the use of standard CTMC analysis algorithms and software tools. Due to ambiguities in the semantic interpretation of confused GSPNs, this analysis strand is however restricted to nets that do not exhibit non-determinism, the so-called well-defined nets. This paper defines a simple semantics for every GSPN. No restrictions are imposed on the presence of confusions. Immediate transitions may be weighted but are not required to be. Cycles of immediate transitions are admitted too. The semantics is defined using a non-deterministic variant of CTMCs, referred to as Markov automata. We prove that for well-defined bounded nets, our semantics is weak bisimulation equivalent to the existing CTMC semantics. Finally, we briefly indicate how every bounded GSPN can be quantitatively assessed.
This work is supported by the EU FP7 Programme under grant agreement no. 295261 (MEALS) and 318490 (SENSATION), by the DFG as part of the SFB/TRÂ 14Â AVACS, and by DFG/NWO bilateral research programme ROCKS.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ajmone Marsan, M., Balbo, G., Chiola, G., Conte, G.: Generalized stochastic Petri nets revisited: Random switches and priorities. In: Petri Nets and Performance Models (PNPM), pp. 44–53. IEEE CS Press (1987)
Ajmone Marsan, M., Balbo, G., Chiola, G., Conte, G., Donatelli, S., Franceschinis, G.: An introduction to Generalized Stochastic Petri Nets. Microel. and Rel. 31(4), 699–725 (1991)
Ajmone Marsan, M., Balbo, G., Conte, G., Donatelli, S., Franceschinis, G.: Modelling with Generalized Stochastic Petri Nets. John Wiley & Sons (1995)
Ajmone Marsan, M., Conte, G., Balbo, G.: A class of generalized stochastic Petri nets for the performance evaluation of multiprocessor systems. ACM TOCS 2(2), 93–122 (1984)
Baier, C., Katoen, J.-P.: Principles of Model Checking. MIT Press (2008)
Baier, C., Katoen, J.-P., Hermanns, H., Wolf, V.: Comparative branching-time semantics for Markov chains. Inf. Comput 200(2), 149–214 (2005)
Balbo, G.: Introduction to stochastic Petri nets. In: Brinksma, E., Hermanns, H., Katoen, J.-P. (eds.) FMPA 2000, LNCS, vol. 2090, pp. 84–155. Springer, Heidelberg (2001)
Balbo, G.: Introduction to Generalized Stochastic Petri Nets. In: Bernardo, M., Hillston, J. (eds.) SFM 2007. LNCS, vol. 4486, pp. 83–131. Springer, Heidelberg (2007)
Bause, F.: No way out ∞ The timeless trap. Petri Net Newsletter 37, 4–8 (1990)
Bertsekas, D.P., Tsitsiklis, J.N.: An analysis of stochastic shortest path problems. Mathematics of Operations Research 16(3), 580–595 (1991)
Buchholz, P.: Exact and ordinary lumpability in finite Markov chains. J. Applied Probability 31, 59–75 (1994)
Chiola, G., Donatelli, S., Franceschinis, G.: GSPNs versus SPNs: What is the actual role of immediate transitions? In: Petri Nets and Performance Models (PNPM), pp. 20–31. IEEE CS Press (1991)
Chiola, G., Ajmone Marsan, M., Balbo, G., Conte, G.: Generalized stochastic Petri nets: A definition at the net level and its implications. IEEE TSE 19(2), 89–107 (1993)
Ciardo, G., Zijal, R.: Well-defined stochastic Petri nets. In: MASCOTS, pp. 278–284 (1996)
Deavours, D.D., Sanders, W.H.: An efficient well-specified check. In: Petri Nets and Performance Models (PNPM), pp. 124–133. IEEE CS Press (1999)
Deng, Y., van Glabbeek, R., Hennessy, M., Morgan, C.: Testing finitary probabilistic processes. In: Bravetti, M., Zavattaro, G. (eds.) CONCUR 2009. LNCS, vol. 5710, pp. 274–288. Springer, Heidelberg (2009)
Desharnais, J., Gupta, V., Jagadeesan, R., Panangaden, P.: Weak bisimulation is sound and complete for PCTL*. Inf. Comput. 208(2), 203–219 (2010)
Hillston, J.: A Compositional Approach to Performance Modelling. PhD thesis, University of Edinburgh (1994)
Eisentraut, C., Hermanns, H., Zhang, L.: Concurrency and composition in a stochastic world. In: Gastin, P., Laroussinie, F. (eds.) CONCUR 2010. LNCS, vol. 6269, pp. 21–39. Springer, Heidelberg (2010)
Eisentraut, C., Hermanns, H., Zhang, L.: On probabilistic automata in continuous time. In: LICS, pp. 342–351. IEEE (2010)
Guck, D., Han, T., Katoen, J.-P., Neuhäußer, M.R.: Quantitative timed analysis of interactive markov chains. In: Goodloe, A.E., Person, S. (eds.) NFM 2012. LNCS, vol. 7226, pp. 8–23. Springer, Heidelberg (2012)
Hermanns, H. (ed.): Interactive Markov Chains. LNCS, vol. 2428. Springer, Heidelberg (2002)
Hatefi, H., Hermanns, H.: Model Checking Algorithms for Markov Automata. ECEASST 53, 1–15 (2012)
Hermanns, H., Herzog, U., Mertsiotakis, V., Rettelbach, M.: Exploiting stochastic process algebra achievements for Generalized Stochastic Petri Nets. In: Petri Nets and Performance Models (PNPM), pp. 183–192. IEEE CS Press (1997)
Katoen, J.-P.: GSPNs revisited: Simple semantics and new analysis algorithms. In: ACSD, pp. 6–11. IEEE (2012)
Kemeny, J.G., Snell, J.L., Knapp, A.W.: Denumerable Markov Chains, 2nd edn. Springer (1976)
Lohrey, M., D’Argenio, P.R., Hermanns, H.: Axiomatising divergence. Inf. Comput. 203(2), 115–144 (2005)
Meyer, J.F., Movaghar, A., Sanders, W.H.: Stochastic activity networks: Structure, behavior, and application. In: Petri Nets and Performance Models (PNPM), pp. 106–115. IEEE CS Press (1985)
Milner, R.: Communication and Concurrency. Prentice-Hall (1989)
Sanders, W.H., Meyer, J.F.: Stochastic Activity Networks: Formal definitions and concepts. In: Brinksma, E., Hermanns, H., Katoen, J.-P. (eds.) FMPA 2000, LNCS, vol. 2090, pp. 315–343. Springer, Heidelberg (2001)
Segala, R.: Modeling and Verification of Randomized Distributed Real-Time Systems. PhD thesis, Laboratory for Computer Science, Massachusetts Institute of Technology (1995)
Teruel, E., Franceschinis, G., De Pierro, M.: Well-defined Generalized Stochastic Petri Nets: A net-level method to specify priorities. IEEE TSE 29(11), 962–973 (2003)
Timmer, M., Katoen, J.-P., van de Pol, J., Stoelinga, M.I.A.: Efficient modelling and generation of markov automata. In: Koutny, M., Ulidowski, I. (eds.) CONCUR 2012. LNCS, vol. 7454, pp. 364–379. Springer, Heidelberg (2012)
Zhang, L., Neuhäußer, M.R.: Model checking interactive Markov chains. In: Esparza, J., Majumdar, R. (eds.) TACAS 2010. LNCS, vol. 6015, pp. 53–68. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Eisentraut, C., Hermanns, H., Katoen, JP., Zhang, L. (2013). A Semantics for Every GSPN. In: Colom, JM., Desel, J. (eds) Application and Theory of Petri Nets and Concurrency. PETRI NETS 2013. Lecture Notes in Computer Science, vol 7927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38697-8_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-38697-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38696-1
Online ISBN: 978-3-642-38697-8
eBook Packages: Computer ScienceComputer Science (R0)