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Schedulability Analysis of Mixed-queued Controller Area Networks with Multi-Frame Messages

Publication Type:

Conference/Workshop Paper

Venue:

18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), WIP

Publisher:

IEEE


Abstract

The Controller Area Network (CAN) is one of the most widely utilized real-time communication networks, which has plenty of applications especially in automotive industry. Many works have been proposed regarding the CAN schedulability analysis which is very important for guaranteeing the safety and reliability of hard real-time systems. Most of the existing analysis methods assume a periodic message model, and some of them take sporadic messages into account. However, for some applications, message transmissions may follow a specific pattern instead of repeating the same transmission period by period, where applying the existing methods may include much pessimism. In this paper, we apply the Multi-Frame task model, which is first proposed by Mok and Chen in cite{MokChen}, on CAN messages. Moreover, we assume that the ECUs in the analyzed network can employ both FIFO and priority based queues. The schedulability analysis and the corresponding proofs are provided along with a case study.

Bibtex

@inproceedings{Liu2957,
author = {Meng Liu and Moris Behnam and Thomas Nolte},
title = {Schedulability Analysis of Mixed-queued Controller Area Networks with Multi-Frame Messages},
month = {September},
year = {2013},
booktitle = {18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), WIP},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/2957-}
}