2019
DOI: 10.1007/978-3-030-16722-6_22
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A Data Flow Model with Frequency Arithmetic

Abstract: Data flow formalisms are commonly used to model systems in order to solve problems of buffer sizing and task scheduling. A prerequisite for static analysis of a modeled system is the existence of a periodic schedule in which the sizes of communication channels can be bounded for an unbounded execution (consistency), and that communication dependencies do not introduce a deadlock in such an execution (liveness). In the context of Cyber-Physical Systems, components are often interfaced with the physical world an… Show more

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Cited by 6 publications
(13 citation statements)
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“…2) PolyGraph: PolyGraph ( [28]) enhances the semantic of rational rates of FRDF. A rate of p q means p tokens are produced/consumed every q firings.…”
Section: ) Vpdfmentioning
confidence: 99%
“…2) PolyGraph: PolyGraph ( [28]) enhances the semantic of rational rates of FRDF. A rate of p q means p tokens are produced/consumed every q firings.…”
Section: ) Vpdfmentioning
confidence: 99%
“…Indeed all periods are linearly related, as expressed in Section 3.1. According to the Polygraph model [14], P corresponds to actors having a frequency. Delays on buffers are allowed, with some restrictions for cycles in .…”
Section: Sychronous Dataflow Graphsmentioning
confidence: 99%
“…As MAPS is not freely accessible, we did not compare to it. Deadlock [12] and consistency [14] analysis of SDF graphs with partially periodic constraints have also been studied. Other tools and papers are closely related to our scheduling problem and are listed in the three next paragraphs, according to there category.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Dynamic data flow models are adapted to capture reconfigurations in a CPS, but they lack expressiveness regarding the real-time synchronization of the components interfaced with the physical world. Recent research introduced Polygraph, a new static data flow formalism that covers such synchronous behavior [5], while allowing asynchronous behavior for computation kernels. Our goal is to extend Polygraph to support the expression of dynamic reconfigurations, describing more precisely the behavior of distributed CPS, thus allowing a refinement of the static performance analysis of the resulting models.…”
Section: Introductionmentioning
confidence: 99%