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Timed Strategies for Real-Time Rewrite Theories

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Rewriting Logic and Its Applications (WRLA 2024)

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Abstract

We propose a language for conveniently defining execution strategies for real-time rewrite theories, and provide Maude-strategy-implemented versions of most Real-Time Maude analysis methods, albeit with user-defined discrete and timed strategies. We also identify a new time sampling strategy that should provide efficient and exhaustive analysis for many distributed real-time systems. We exemplify our language and its analyses on a simple round trip time protocol, and compare the performance of standard Maude search with our strategy-implemented reachability analyses on the CASH scheduling algorithm benchmark.

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Notes

  1. 1.

    Hitoshi Ohsaki, personal communication, 2007.

  2. 2.

    Parts of Maude code and Maude output will be replaced by ‘...’.

  3. 3.

    A further optimization would advance time to when the least remaining delay is 0.

  4. 4.

    Here init denotes an initial state from which a missed deadline should not be reachable if the optimized version of CASH were correct.

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Acknowledgments

This work was supported by the NATO Science for Peace and Security Programme through grant number G6133 (project SymSafe) and by the PHC project Aurora AESIR.

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Authors and Affiliations

  1. LIPN, CNRS UMR 7030, Université Sorbonne Paris Nord, Villetaneuse, France

    Carlos Olarte

  2. Department of Informatics, University of Oslo, Oslo, Norway

    Peter Csaba Ölveczky

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Correspondence to Carlos Olarte .

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Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Kazuhiro Ogata

  2. Universidad Complutense de Madrid, Madrid, Spain

    Narciso Martí-Oliet

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Olarte, C., Ölveczky, P.C. (2024). Timed Strategies for Real-Time Rewrite Theories. In: Ogata, K., Martí-Oliet, N. (eds) Rewriting Logic and Its Applications. WRLA 2024. Lecture Notes in Computer Science, vol 14953. Springer, Cham. https://doi.org/10.1007/978-3-031-65941-6_7

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  • DOI: https://doi.org/10.1007/978-3-031-65941-6_7

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