Challenges and solutions in configuring, rapid developing and deploying of a QoS-enabled component middleware

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...

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Hauptverfasser: Mazouzi, M., Hasnaoui, S., Abid, M.
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Abid, M.
description 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. Thus, this paper provides an overview about the problem caused by some combinations of QoS policies and gives ideas about the emerging of the new paradigm of Model Driven Middleware with QoS-enabled component, including DDS.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Control systems
Controller Area Network (CAN)
data distribution
DDS
Distributed computing
Distributed Control Systems
EDF
Embedded computing
Embedded system
Laboratories
Middleware
Military computing
Publish-subscribe
QoS policies
Quality of service
Real time systems
Real-Time Middleware
title Challenges and solutions in configuring, rapid developing and deploying of a QoS-enabled component middleware
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