Modeling the QoS parameters of DDS for event-driven real-time applications

The Data Distribution Service (DDS) standard defines a data-centric distribution middleware that supports the development of distributed real-time systems. To this end, the standard includes a wide set of configurable parameters to provide different degrees of Quality of Service (QoS). This paper presents an analysis of these QoS parameters when DDS is used to build reactive applications normally designed under an event-driven paradigm, and shows how to represent them using the real-time end-to-end flow model defined by the MARTE standard. We also present an application-case study to illustrate the use and modeling of DDS in next-generation distributed real-time systems.

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