Distributed Branching Bisimulation Minimization by Inductive Signatures

Share/Save/Bookmark

Blom, Stefan and Pol van de, Jaco (2009) Distributed Branching Bisimulation Minimization by Inductive Signatures. In: 8th International Workshop on Parallel and Distributed Methods in verifiCation, PDMC 2009, 4 November 2009, Eindhoven, The Netherlands.

[img]
Preview
PDF
248Kb
Abstract:We present a new distributed algorithm for state space minimization modulo branching bisimulation. Like its predecessor it uses signatures for refinement, but the refinement process and the signatures have been optimized to exploit the fact that the input graph contains no tau-loops.
The optimization in the refinement process is meant to reduce both the number of iterations needed and the memory requirements. In the former case we cannot prove that there is an improvement, but our experiments show that in many cases the number of iterations is smaller. In the latter case, we can prove that the worst case memory use of the new algorithm is linear in the size of the state space, whereas the old algorithm has a quadratic upper bound.
The paper includes a proof of correctness of the new algorithm and the results of a number of experiments that compare the performance of the old and the new algorithms.
Item Type:Conference or Workshop Item
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/69463
Official URL:http://dx.doi.org/10.4204/EPTCS.14.3
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page