A Database Approach to Distributed State-Space Generation

Stefan Blom, Bert Lisser, Jan Cornelis van de Pol, M. Weber, I. Cerna, Boudewijn R.H.M. Haverkort (Editor)

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)


We study distributed state-space generation on a cluster of workstations. It is explained why state-space partitioning by a global hash function is problematic when states contain variables from unbounded domains, such as lists or other recursive data types. Our solution is to introduce a database which maintains a global numbering of state values. We also describe tree compression, a technique of recursive state folding, and show that it is superior to manipulating plain state vectors. This solution is implemented and linked to the muCRL toolset, where state values are implemented as maximally shared terms (ATerms). However, it is applicable to other models as well, e.g. PROMELA or LOTOS models. Our experiments show the trade-offs between keeping the database global, replicated or local, depending on the available network bandwidth and latency.
Original languageEnglish
Pages (from-to)45-62
Number of pages18
JournalJournal for Logic and Computation
VolumeAdvance Ac
Issue number1
Publication statusPublished - 5 Mar 2009
Externally publishedYes


  • parallel algorithms
  • latency hiding
  • EC Grant Agreement nr.: FP6/043235
  • EWI-15980
  • Distributed model checking
  • METIS-263982
  • IR-67856
  • CR-I.1.2


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