DocumentCode :
345628
Title :
A data structure for the efficient Kronecker solution of GSPNs
Author :
Ciardo, Gianfranco ; Miner, Andrew S.
Author_Institution :
Dept. of Comput. Sci., Coll. of William & Mary, Williamsburg, VA, USA
fYear :
1999
fDate :
1999
Firstpage :
22
Lastpage :
31
Abstract :
Kronecker-based approaches have been proposed for the solution of structured GSPNs with extremely large state spaces. Representing the transition rate matrix using Kronecker sums and products of smaller matrices virtually eliminates its storage requirements, but introduces various sources of overhead. We show how, by using a new data structure which we call matrix diagrams, we are able to greatly reduce or eliminate many of these overheads, resulting in a very efficient overall solution process
Keywords :
Petri nets; data structures; formal specification; matrix algebra; stochastic processes; Kronecker solution; data structure; large state spaces; matrix diagrams; storage requirements; structured generalised stochastic Petri nets; transition rate matrix; Computer science; Data structures; Educational institutions; Hard disks; Ice; NASA; National electric code; Petri nets; State-space methods; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Petri Nets and Performance Models, 1999. Proceedings. The 8th International Workshop on
Conference_Location :
Zaragoza
ISSN :
1063-6714
Print_ISBN :
0-7695-0331-4
Type :
conf
DOI :
10.1109/PNPM.1999.796529
Filename :
796529
Link To Document :
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