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arXiv · 2501.07273

An Extended Survey and a Comparison Framework for Dataflow Models of Computation and Communication

Guillaume Roumage·Selma Azaiez·Cyril Faure·Stéphane Louise
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Abstract

Dataflow Model of Computation and Communications (DF MoCCs) is a formalism used to specify the behavior of Cyber-Physical Systems (CPSs). DF MoCCs are widely used in the design of CPSs, as they provide a high-level of abstraction to specify the system's behavior. DF MoCCs rules give semantics to a dataflow specification of a CPS, and static analysis algorithms rely on these semantics to guarantee safety properties of the dataflow specification, such as bounded memory usage and deadlock freeness. A wide range of DF MoCCs exists, each with its own characteristics and static analyses. This paper presents a survey of those DF MoCCs and a classification in eight categories. In addition, DF MoCCs are characterized by a comprehensive list of features and static analyses, which reflect their expressiveness and analyzability. Based on this characterization, a framework is proposed to compare the expressiveness and the analyzability of DF MoCCs quantitatively.

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Guillaume Roumage, Selma Azaiez, Cyril Faure, Stéphane Louise. 2025-01-13. An Extended Survey and a Comparison Framework for Dataflow Models of Computation and Communication. https://arxiv.org/abs/2501.07273

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