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Monitoring of temporal first-order properties with aggregations

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Abstract

In system monitoring, one is often interested in checking properties of aggregated data. Current policy monitoring approaches are limited in the kinds of aggregations they handle. To rectify this, we extend an expressive language, metric first-order temporal logic, with aggregation operators. Our extension is inspired by the aggregation operators common in database query languages like SQL. We provide a monitoring algorithm for this enriched policy specification language. We show that, in comparison to related data processing approaches, our language is better suited for expressing policies, and our monitoring algorithm has competitive performance.

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Notes

  1. Our prototype, the formulas, and the input data are available as an archive at http://sourceforge.net/projects/monpoly/files/fmsd-experiments.tgz.

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Acknowledgments

This work was partially supported by the Zurich Information Security and Privacy Center (ZISC).

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Authors and Affiliations

  1. Computer Science Department, Institute of Information Security, ETH Zurich, Universiätstr 6, 8092, Zurich, Switzerland

    David Basin, Srdjan Marinovic & Eugen Zălinescu

  2. NEC Europe Ltd., Kurfürsten-Anlage 36, 69115, Heidelberg, Germany

    Felix Klaedtke

Authors
  1. David Basin
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  2. Felix Klaedtke
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  3. Srdjan Marinovic
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  4. Eugen Zălinescu
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Corresponding author

Correspondence to Eugen Zălinescu.

Additional information

A preliminary version of this work has been presented at the 4th International Conference on Runtime Verification (RV 2013); see [7].

This work was partly done while the second author was at ETH Zurich.

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Basin, D., Klaedtke, F., Marinovic, S. et al. Monitoring of temporal first-order properties with aggregations. Form Methods Syst Des 46, 262–285 (2015). https://doi.org/10.1007/s10703-015-0222-7

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