The Rubus component model for resource constrained real-time systems

Hänninen, Kaj; Mäki-Turja, Jukka; Nolin, Mikael; Lindberg, Mats; Lundback, J.; Lundbäck, Kurt-Lennart

doi:10.1109/sies.2008.4577697

Cited by 70 publications

(23 citation statements)

References 11 publications

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“…To achieve this the modules must be dynamically linked before they can access the OS. Examples of such systems are given by (Dunkels, Finne, Eriksson, & Voigt, 2006), (Taherkordi, Loiret, Rouvoy, & Eliassen, 2013) and (Hänninen et al, 2008). Such designs usually are tightly connected to specific object code formats and have special tools for dynamic linking that limit portability.…”

Section: Software Componentsmentioning

confidence: 99%

Process Architecture Enabling Object Orientation and Dynamic Configuration for Small Embedded Devices - Dynamic Control of Processes and Communication Channels

Dalgard

Liverud

2017

Proceedings of the 7th International Joint Conference on Pervasive and Embedded Computing and Communication Systems

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Abstract:Embedded systems pose challenges such as limited memory and power budget. The list of mandatory functionality like connectivity, availability and remote configuration increase the software complexity and requires a more dynamic behaviour. This paper shows how to introduce object orientation to achieve dynamic configuration of processes and communication channels, better usage of RAM and more portable source code. This is implemented by a limited use of C++ without libraries in coexistence with existing C code.

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Section: Software Componentsmentioning

confidence: 99%

Process Architecture Enabling Object Orientation and Dynamic Configuration for Small Embedded Devices - Dynamic Control of Processes and Communication Channels

Dalgard

Liverud

2017

Proceedings of the 7th International Joint Conference on Pervasive and Embedded Computing and Communication Systems

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“…Rubus is today mainly used for development of control functionality in vehicles. The Rubus concept is based around the Rubus Component Model (RCM) [7] and its development environment Rubus-ICE, which includes modeling tools, code generators, analysis tools and runtime infrastructure. The overall goal of Rubus is to be aggressively resource efficient and to provide means for developing predictable and analyzable control functions in resource-constrained embedded systems.…”

Section: A the Rubus Conceptmentioning

confidence: 99%

Support for Holistic Response-Time Analysis in an Industrial Tool Suite: Implementation Issues, Experiences and a Case Study

Mubeen¹,

Mäki-Turja²,

Sjödin

2012

2012 IEEE 19th International Conference and Workshops on Engineering of Computer-Based Systems

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Abstract-The process of implementing and integrating state-of-the-art real-time analysis techniques with an existing industrial tool suite for the development of Distributed Realtime Embedded (DRE) systems offers many challenges. The implementer has to not only code and implement the analysis in the tool suite, but also deal with several issues such as extraction of unambiguous timing and tracing information from the design model. In this paper we present an implementation of the Holistic Response-Time Analysis (HRTA) as a plug-in for an industrial tool suite Rubus-ICE that is used for componentbased development of DRE systems. We discuss and solve the issues encountered and highlight the experiences gained during the process of implementation, integration and evaluation of HRTA plug-in. We also provide a proof of concept by modeling an automotive application (autonomous cruise control system) using component-based development and analyzing it with HRTA plug-in.

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“…Rubus is today mainly used for development of control functionality in vehicles. The Rubus concept is based around the Rubus Component Model (RCM) [19] and its development environment Rubus-ICE (Integrated Component development Environment), which includes modeling tools, code generators, analysis tools and run-time infrastructure. The overall goal of Rubus is to be aggressively resource efficient and to provide means for developing predictable and analyzable control functions in resource-constrained embedded systems.…”

Section: The Rubus Conceptmentioning

confidence: 99%

Translating end-to-end timing requirements to timing analysis model in component-based distributed real-time systems

2012

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This is an accepted version of a paper published in ACM SIGBED Review. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.Citation for the published paper: Mubeen, S., Mäki-Turja, J., Sjödin, M. Abstract-Often, component-based real-time systems are modeled with trigger and data chains. The end-to-end timing requirements on trigger chains are different from those on data chains. For a trigger chain, the interest lies in the calculation of holistic response time and its comparison with end-to-end deadline. Whereas, the schedulability of a data chain requires a comparison between its end-to-end latencies and corresponding deadlines. We discuss the problem of translating end-to-end timing requirements unambiguously from component-based real-time systems into timing analysis models which are required as input by the analysis tools. We also provide preliminary guidelines for such translations in the existing industrial tool suite.

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The Rubus component model for resource constrained real-time systems

Cited by 70 publications

References 11 publications

Process Architecture Enabling Object Orientation and Dynamic Configuration for Small Embedded Devices - Dynamic Control of Processes and Communication Channels

Process Architecture Enabling Object Orientation and Dynamic Configuration for Small Embedded Devices - Dynamic Control of Processes and Communication Channels

Support for Holistic Response-Time Analysis in an Industrial Tool Suite: Implementation Issues, Experiences and a Case Study

Translating end-to-end timing requirements to timing analysis model in component-based distributed real-time systems

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