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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Petri Nets and Performance Models, 1999. Proceedings. The 8th International Workshop on
         
        
            Conference_Location : 
Zaragoza
         
        
        
            Print_ISBN : 
0-7695-0331-4
         
        
        
            DOI : 
10.1109/PNPM.1999.796529