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Almost Event-Rate Independent Monitoring of Metric Dynamic Logic

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Book cover Runtime Verification (RV 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10548))

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Abstract

Linear temporal logic (LTL) and its quantitative extension metric temporal logic (MTL) are standard languages for specifying system behaviors. Regular expressions are an even more expressive formalism in the non-metric setting and several extensions of LTL, including the recently proposed linear dynamic logic (LDL), offer regular-expression-like constructs. We extend LDL with past operators and quantitative features. The resulting metric dynamic logic (MDL) offers the quantitative temporal conveniences of MTL while increasing its expressiveness. We develop and evaluate an online monitoring algorithm for MDL whose space-consumption is almost event-rate independent—a notion that characterizes monitors that scale to high-velocity event streams.

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Acknowledgment

Felix Klaedtke pointed us to a motivating example of a property not expressible in MTL. Bhargav Bhatt, Domenico Bianculli, and three anonymous reviewers provided helpful feedback on earlier drafts of this paper. Srđan Krstić is supported by the Swiss National Science Foundation grant Big Data Monitoring (167162). The authors are listed alphabetically.

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Authors and Affiliations

  1. Institute of Information Security, Department of Computer Science, ETH Zürich, Zurich, Switzerland

    David Basin, Srđan Krstić & Dmitriy Traytel

Authors
  1. David Basin
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  2. Srđan Krstić
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  3. Dmitriy Traytel
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Corresponding authors

Correspondence to Srđan Krstić or Dmitriy Traytel .

Editor information

Editors and Affiliations

  1. Microsoft Research, Redmond, Washington, USA

    Shuvendu Lahiri

  2. The University of Manchester, Manchester, United Kingdom

    Giles Reger

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Basin, D., Krstić, S., Traytel, D. (2017). Almost Event-Rate Independent Monitoring of Metric Dynamic Logic. In: Lahiri, S., Reger, G. (eds) Runtime Verification. RV 2017. Lecture Notes in Computer Science(), vol 10548. Springer, Cham. https://doi.org/10.1007/978-3-319-67531-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-67531-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67530-5

  • Online ISBN: 978-3-319-67531-2

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