Cluster-Based I/O-Efficient LTL Model Checking

I/O-efficient algorithms take the advantage of large capacities of external memories to verify huge state spaces even on a single machine with low-capacity RAM. On the other hand, parallel algorithms are used to accelerate the computation and their usage may significantly increase the amount of avai...

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Veröffentlicht in:2009 IEEE/ACM International Conference on Automated Software Engineering S. 635 - 639
Hauptverfasser: Barnat, J., Brim, L., Simecek, P.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.11.2009
Schlagworte:
Acceleration
Clustering algorithms
Computer industry
Computer networks
Concurrent computing
I/O-efficient model checking
Large-scale systems
LTL
Parallel algorithms
parallel model checking
Random access memory
Read-write memory
State-space methods
ISBN:1424452597, 9781424452590
ISSN:1938-4300
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Zusammenfassung:I/O-efficient algorithms take the advantage of large capacities of external memories to verify huge state spaces even on a single machine with low-capacity RAM. On the other hand, parallel algorithms are used to accelerate the computation and their usage may significantly increase the amount of available RAM memory if clusters of computers are involved. Since both the large amount of memory and high speed computation are desired in verification of large-scale industrial systems, extending I/O-efficient model checking to work over a network of computers can bring substantial benefits. In this paper we propose an explicit state cluster-based I/O efficient LTL model checking algorithm that is capable to verify systems with approximately 10 10 states within hours.
ISBN:1424452597
9781424452590
ISSN:1938-4300
DOI:10.1109/ASE.2009.32