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LetSynchronise: An Open-Source Framework for Analysing and Optimising Logical Execution Time Systems

Published: 09 May 2023 Publication History
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  • Abstract

    The paper presents early work on LetSynchronise, an open-source framework that aims to facilitate research and collaboration on Logical Execution Time (LET) systems. It offers a web application for modelling, simulating, analysing, and optimising LET systems, which can be extended via user-defined plugins for the rapid prototyping of scheduling policies, timing analysers, and optimisation algorithms. Its capabilities are demonstrated through use cases and a small research case study.

    References

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    AUTOSAR Classic. 2022. Release R22-11. Available at https://www.autosar.org/standards/classic-platform. Last accessed Mar 2023.
    [2]
    Rolf Ernst, Stefan Kuntz, Sophie Quinton, and Martin Simons. 2018. The Logical Execution Time Paradigm: New Perspectives for Multicore Systems (Dagstuhl Seminar 18092). Dagstuhl Reports 8, 2 (2018), 122–149.
    [3]
    Mario Günzel, Kuan-Hsun Chen, Niklas Ueter, Georg von der Brüggen, Marco Dürr, and Jian-Jia Chen. 2021. Timing Analysis of Asynchronized Distributed Cause-Effect Chains. In Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, New York, USA, 40–52.
    [4]
    Julien Hennig, Hermann von Hasseln, Hassan Mohammad, Stefan Resmerita, Stefan Lukesch, and Andreas Naderlinger. 2016. Towards Parallelizing Legacy Embedded Control Software Using the LET Programming Paradigm. In Real-Time and Embedded Technology and Appl. Symp. (RTAS). IEEE, New York, USA, 1–4.
    [5]
    Thomas A. Henzinger and Christoph M. Kirsch. 2007. The Embedded Machine: Predictable, Portable Real-time Code. ACM Transactions on Programming Languages and Systems 29, 6 (2007), 33:1–33:29.
    [6]
    Christoph M. Kirsch and Ana Sokolova. 2012. The Logical Execution Time Paradigm. In Advances in Real-Time Systems. Springer, Berlin, Heidelberg, 103–120.
    [7]
    Claire Pagetti, David Saussié, Romain Gratia, Eric Noulard, and Pierre Siron. 2014. The ROSACE Case Study: From Simulink Specification to Multi/Many-core Execution. In Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, New York, USA, 309–318.
    [8]
    Stefan Resmerita, Andreas Naderlinger, Manuel Huber, Kenneth Butts, and Wolfgang Pree. 2015. Applying Real-Time Programming to Legacy Embedded Control Software. In Real-Time Distributed Computing. IEEE, New York, USA, 1–8.

    Cited By

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    • (2023)Health Diagnosis of Gear Based on Artificial Intelligence Deep Learning and Rigid-Flexible Coupling Dynamics Model2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)10.1109/TALE56641.2023.10398347(1-6)Online publication date: 28-Nov-2023

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    cover image ACM Conferences
    CPS-IoT Week '23: Proceedings of Cyber-Physical Systems and Internet of Things Week 2023
    May 2023
    419 pages
    ISBN:9798400700491
    DOI:10.1145/3576914
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 09 May 2023

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    Author Tags

    1. analysis
    2. modelling
    3. reactive systems
    4. simulation
    5. timing
    6. tool

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    • (2023)Health Diagnosis of Gear Based on Artificial Intelligence Deep Learning and Rigid-Flexible Coupling Dynamics Model2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)10.1109/TALE56641.2023.10398347(1-6)Online publication date: 28-Nov-2023

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