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

• We propose an approach to enable the early schedulability analysis of real-time applications distributed with the DDS standard.
• Fault tolerance and real-time features of DDS are represented using the MARTE end-to-end flow model.
• We identify the existence of complex interactions among DDS entities that may influence the real-time modeling of applications.
• We analyze and evaluate a case-study from the automotive domain to demonstrate the validity of the approach.
• Further step toward the integration of DDS into model-driven development processes.

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.