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Integrating Response-time Analysis for Heterogeneous Networks with Rubus Analysis Framework: Challenges and Preliminary Solutions
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6132-7945
Arcticus Systems AB, Järfälla, Sweden .
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2015 (English)In: 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA 2015): Proceedings of a meeting held 8-11 September 2015, Luxembourg., 2015Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we discuss the challenges that are faced when the state-of-the-art research results are transferred to a model-based tool chain for the industrial use. These challenges are often overlooked when the research results are implemented in an academic environment. In particular, we discuss various challenges regarding the implementation and integration of the response-time analysis for heterogeneous networks, comprising of CAN and Ethernet AVB, as a plug-in for the Rubus Analysis Framework. Rubus tool suite is used for the model- and component-based development of software for vehicular real-time systems by several international companies. We also discuss preliminary solutions to deal with the challenges.

Place, publisher, year, edition, pages
2015.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-29623DOI: 10.1109/ETFA.2015.7301639ISI: 000378564800240Scopus ID: 2-s2.0-84952940867ISBN: 9781467379304 (print)OAI: oai:DiVA.org:mdh-29623DiVA: diva2:881606
Conference
20th IEEE International Conference on Emerging Technologies and Factory Automation ETFA'15, 8-11 Sep 2015, Luxemburg, Luxemburg
Projects
PRESS - Predictable Embedded Software Systems
Available from: 2015-12-11 Created: 2015-11-26 Last updated: 2016-07-28Bibliographically approved

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Mubeen, SaadAshjaei, MohammadNolte, Thomas

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