Salem Hasnaoui

Design and Performance of DDS-based Middleware for Real- Time Control Systems

Abstract: Data-centric design is emerging as a key tenet for building advanced data-critical distributed real-time and embedded systems. These systems must find the right data, know where to send it, and deliver it to the right place at the right time. Data Distribution Service (DDS) specifies an API designed for enabling real-time data distribution and is well suited for such complex distributed systems and QoS-enabled applications. It is also, widely known that Control Area Networks (CAN) are used in real-time, distributed and parallel processing.

Publication Year: 
2007
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Challenges in the Implementation, the Configuration and the Evaluation of a QoS-enabled Middleware for Real-Time Embedded Systems

Distributed computing in complex embedded systems gain complexity, when these systems are equipped with many microcontrollers which oversee diverse Electronic Control Units (ECU) connecting hundreds or thousands of analogue and digital sensors and actuators.

The Publish/Subscribe paradigm matches well with these systems. Data Distribution Service (DDS) is a publish/subscribe data-centric middleware. It specifies an API designed for enabling real-time data distribution and is well suited for such complex distributed systems and QoS-enabled applications.

Publication Year: 
2008
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