Semantics foundations of PsyC based on synchronous Logical Execution Time - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2023

Semantics foundations of PsyC based on synchronous Logical Execution Time

Robert de Simone
Damien Chabrol
Amira Methni

Résumé

Task models for Real-Time Scheduling (RTS) and Synchronous Reactive (SR) languages are two prominent classes of formalisms for the design and analysis of time-critical embedded systems. Task models allow providing deadlines, periods, or other such kinds of interval time boundaries that make the system description fit for schedulability analysis. Synchronous reactive languages use logical clocks to be activation condition triggers in languages providing programmability. We consider here synchronous LET (sLET) extensions that intend to re-use notions of logical clocks and logical time, for the purpose of providing schedulability boundaries. As its name indicates, sLET borrows deeply from Logical Execution Time ideas, where timing dimensions are all provided at logical design time, but they extend asynchronous events as in xGiotto with SR-inspired programmability and "first-class citizen" logical clock constructs. Our work results in a two-level semantics of the programming language PsyC. The benefits are to reuse techniques from both RTS and SR. Big-step RTS models provide inputs for task model schedulability analysis and implementation. Meanwhile, SR small-step models provide methodological tools to view any events as a time base (logical clock) and verification technologies (but they do not consider the WCET of tasks to be kept within time boundaries by the scheduling). We show the semantic equivalence of those two semantics at visible time interval boundaries.
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hal-04355453 , version 1 (20-12-2023)

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Fabien Siron, Dumitru Potop-Butucaru, Robert de Simone, Damien Chabrol, Amira Methni. Semantics foundations of PsyC based on synchronous Logical Execution Time. CPS-IoT Week 2023 - Cyber-Physical Systems and Internet of Things Week 2023, May 2023, San Antonio TX USA, France. pp.319-324, ⟨10.1145/3576914.3587495⟩. ⟨hal-04355453⟩
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