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Schedulability Analysis of GMF-Modeled Messages over Controller Area Networks with Mixed-Queues

Publication Type:

Conference/Workshop Paper


10th IEEE International Workshop on Factory Communication Systems


The Controller Area Network (CAN) is widely utilized in many industrial real-time applications. As a real-time communication network, the predictability of timing behaviors is very important. Therefore, many works have been proposed regarding the schedulability analysis of CAN messages. Most of the existing analysis approaches are based on a traditional periodic message model. However, in some applications, the transmission of a message may follow a certain pattern instead of repeating the same transmission period by period. In these cases, applying the existing analysis methods may lead to quite pessimistic results. In order to tackle this problem, in this paper we apply the Generalized Multi-Frame (GMF) task model on CAN messages, where both priority-based and FIFO-based message queues are taken into account. We present a corresponding sufficient schedulability analysis. According to the experimental evaluations, our analysis can provide tighter results compared to the existing CAN message response time analysis in the context of GMF-modeled messages.


author = {Meng Liu and Moris Behnam and Thomas Nolte},
title = {Schedulability Analysis of GMF-Modeled Messages over Controller Area Networks with Mixed-Queues},
month = {May},
year = {2014},
booktitle = {10th IEEE International Workshop on Factory Communication Systems},
url = {}