DocumentCode :
2147646
Title :
Compositional analysis of switched Ethernet topologies
Author :
Schneider, Reinhard ; Zhang, Licong ; Goswami, Dip ; Masrur, Alejandro ; Chakraborty, Samarjit
Author_Institution :
Institute for Real-Time Computer Systems, TU Munich, Germany
fYear :
2013
fDate :
18-22 March 2013
Firstpage :
1099
Lastpage :
1104
Abstract :
In this paper we study distributed automotive control applications whose tasks are mapped onto different ECUs communicating via a switched Ethernet network. As traditional automotive communication buses like CAN, FlexRay, LIN and MOST are gradually reaching their performance limits because of the increasing complexity of automotive architectures and applications, Ethernet-based in-vehicle communication systems have attracted a lot of attention in recent times. However, currently there is very little work on systematic timing analysis for Ethernet which is important for its deployment in safety-critical scenarios like in an automotive architecture. In this work, we propose a compositional timing analysis technique that takes various features of switched Ethernet into account like network topology, frame priorities, communication delay, memory requirement on switches, performance, etc. Such an analysis technique is particularly suitable during early design phases of automotive architectures and control software deployment. We demonstrate its use in analyzing mixed-criticality traffic patterns consisting of messages from performance-oriented control loops and timing-sensitive real-time tasks. We further evaluate the tightness of the obtained analytical bounds with an OMNeT++ based network simulation environment, which involves long simulation time and does not provide formal guarantees.
Keywords :
Analytical models; Automotive engineering; Delays; Fabrics; Network topology; Ports (Computers); Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013
Conference_Location :
Grenoble, France
ISSN :
1530-1591
Print_ISBN :
978-1-4673-5071-6
Type :
conf
DOI :
10.7873/DATE.2013.231
Filename :
6513677
Link To Document :
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