Application of a CAN BUS transport for DDS middleware

Rekik, Rojdi; Hasnaoui, Salem

doi:10.1109/icadiwt.2009.5273919

Cited by 18 publications

(4 citation statements)

References 11 publications

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“…It natively supports the watch-dog mechanism described in the standard through the deadline QoS parameter. Additionally, it can be implemented over any OSI level 2 transport layer, e.g., CAN [42], which makes it a suitable option for distributed embedded systems. & Safety policy: The SCA policy can be declaratively attached to the DDS binding.…”

Section: Safety Communication Bindingmentioning

confidence: 99%

QoS management for dependable sensory environments

Agirre

Parra

Armentia

et al. 2015

Multimed Tools Appl

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Sensory environments for healthcare are commonplace nowadays. A patient monitoring system in such an environment deals with sensor data capture, transmission and processing in order to provide on-the-spot support for monitoring the vulnerable and critical patients. A fault in such a system can be hazardous on the health of the patient. Therefore, such a system must be dependable and ensure reliability, fault-tolerance, safety and other critical aspects, in order to deploy it in real scenario. Also, the management of the infrastructure resources must be efficient and the eventual system reconfiguration must be reliably performed. This paper encounters some of these issues and proposes a component platform with specific support for several QoS aspects, namely fault tolerance, safe inter-component communication and resource management. The platform adopts the Service Component Architecture (SCA) model and defines a Data Distribution Service (DDS) binding, which provides the fault tolerance and the required safety-ensuring techniques and measures, as defined in the IEC Multimed Tools Appl

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Section: Safety Communication Bindingmentioning

confidence: 99%

QoS management for dependable sensory environments

Agirre

Parra

Armentia

et al. 2015

Multimed Tools Appl

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“…Little design time needs be spent on handling their mutual interactions. In particular, the applications never need information about the other participating applications, including their existence or locations [16] [17]. Fig.…”

Section: Tight Couplingmentioning

confidence: 99%

Simulation Driven Development of Distributed Systems – Coupling of virtual and real system components

Pfitzinger

Baumann²

2018

Annals of Computer Science and Information Systems

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Looking at the end-to-end processing, typical software-intensive systems are built as a system-of-systems where each sub-system specializes according to both the business and technology perspective. One challenge is the integration of all systems into a single systemcrossing technological and organizational boundaries as well as functional domains. To facilitate the successful integration, we apply the system design process Simulation Driven Development (SDD). The basic idea is the application of realistic simulation models in parallel to existing software engineering procedures to enable testing and validation from day one. In this article we discuss the coupling of sub-systems implemented as virtual simulation models with sub-systems implemented as real sub-systems to enable unit tests against system level. Two approaches are presented: loose coupling and tight coupling.

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“…Rekik and Hasnaoui presented a detailed implementation of DDS API on a CAN bus transport. This implementation could use CAN bus to send a number of sensor data samples in one message and the connectionless DDS property is well suited for complex distributed system [24].…”

Section: Related Workmentioning

confidence: 99%

Data Distribution Service for industrial automation

Yang¹,

Sandström²,

Nolte

et al. 2012

Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2012)

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In industrial automation systems, there is usually large volume of data which needs to be delivered to right places at the right time. In addition, large number of nodes in the automation systems are usually distributed which increases the complexity that there needs to be more point-to-point Ethernet-connections in the network. Hence, it is necessary to apply data-centric design and reduce the connection complexity. Data Distributed Service for Real-Time Systems (DDS) is a data-centric middleware specification adopted by Object Management Group (OMG). It uses the Real-Time Publish-Subscribe protocol as its wiring protocol and targets for mission-and business-critical systems. The IEC 61499 Standard defines an open architecture for the next generation of distributed control and automation systems. This thesis presents the structure and key features of DDS and builds a model of real-time distributed system based on the IEC 61499 Standard. Then a performance evaluation of the DDS communication based on this model is carried out. The traditional socket-based communication is also evaluated to act as a reference for the DDS communication. The results of the evaluation mostly show that DDS is considered as a good solution to reduce the complexity of the Ethernet connections in distributed systems and can be applied to some classes of industrial automation systems.iii

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Application of a CAN BUS transport for DDS middleware

Cited by 18 publications

References 11 publications

QoS management for dependable sensory environments

QoS management for dependable sensory environments

Simulation Driven Development of Distributed Systems – Coupling of virtual and real system components

Data Distribution Service for industrial automation

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