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Maximal Causal Models for Sequentially Consistent Systems

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Runtime Verification (RV 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7687))

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Abstract

This paper shows that it is possible to build a maximal and sound causal model for concurrent computations from a given execution trace. It is sound, in the sense that any program which can generate a trace can also generate all traces in its causal model. It is maximal (among sound models), in the sense that by extending the causal model of an observed trace with a new trace, the model becomes unsound: there exists a program generating the original trace which cannot generate the newly introduced trace. Thus, the maximal sound model has the property that it comprises all traces which all programs that can generate the original trace can also generate. The existence of such a model is of great theoretical value as it can be used to prove the soundness of non-maximal, and thus smaller, causal models.

This work was supported in part by Contract 161/15.06.2010, SMISCSNR 602-12516 (DAK), by NSA contract H98230-10-C-0294 and by NSF grant CCF-0916893.

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Şerbănuţă, T.F., Chen, F., Roşu, G. (2013). Maximal Causal Models for Sequentially Consistent Systems. In: Qadeer, S., Tasiran, S. (eds) Runtime Verification. RV 2012. Lecture Notes in Computer Science, vol 7687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35632-2_16

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  • DOI: https://doi.org/10.1007/978-3-642-35632-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35631-5

  • Online ISBN: 978-3-642-35632-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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