Exploiting partial symmetries for Markov chain aggregation

L. Capra, C. Dutheillet, G. Franceschinis, J. M. Ilie

Risultato della ricerca: Contributo su rivistaArticolo da conferenzapeer review

Abstract

The technique presented in this paper allows the automatic construction of a lumped Markov chain for almost symmetrical Stochastic Well-formed Net (SWN) models. The starting point is the Extended Symbolic Reachability Graph (ESRG), which is a reduced representation of a SWN model reachability graph (RG), based on the aggregation of states into classes. These classes may be used as aggregates for lumping the Continuous Time Markov Chain (CTMC) isomorphic to the model RG: however it is not always true that the lumpability condition is verified by this partition of states. In the paper we propose an algorithm that progressively refines the ESRG classes until a lumped Markov chain is obtained.
Lingua originaleInglese
pagine (da-a)231-257
Numero di pagine27
RivistaElectronic Notes in Theoretical Computer Science
Volume39
Numero di pubblicazione3
DOI
Stato di pubblicazionePubblicato - 2000
EventoMTCS 2000 (Satellite Workshop of CONCUR 2000) - State College, United States
Durata: 26 ago 200026 ago 2000

Fingerprint

Entra nei temi di ricerca di 'Exploiting partial symmetries for Markov chain aggregation'. Insieme formano una fingerprint unica.

Cita questo