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The use of distribution middleware facilitates the programming of heterogeneous real-time distributed systems, and it can also facilitate the automatic generation of source code when integrated as a part of a general MDE (Model-Driven Engineering) strategy. However, the complexity usually associated with distribution middleware puts a burden on the development of applications with hard real-time requirements or high levels of criticality. This paper gathers a set of previous works to present an overview on how a data-centric distribution middleware (DDS, Data Distribution Service) could be used in distributed applications with mixed criticality and real-time requirements.

Desarrollo de Sistemas Distribuidos de Tiempo Real y de Criticidad Mixta a través del Estándar DDS