DocumentCode :
271871
Title :
Schedule integration framework for time-triggered automotive architectures
Author :
Sagstetter, Florian ; Andalam, Sidharta ; Waszecki, Peter ; Lukasiewycz, Martin ; Stähle, Hauke ; Chakraborty, Shiladri ; Knoll, Aaron
Author_Institution :
TUM CREATE, Singapore, Singapore
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
Automotive Electrical/Electronic (E/E)-architectures consist of various components which are generally developed independently. Due to the increasing size and complexity, component integration is highly challenging and already slight modifications to components or subsystems often require expensive re-testing and re-validation. As a remedy, we propose a framework for modular architectures based on a data-centric description and a fully time-triggered scheduling. This modular design approach is enabled by a novel methodology for schedule integration where local schedules are defined independently for subsystems before being integrated into a global schedule. This divide-and-conquer approach significantly reduces the integration complexity while the system becomes highly composable. Our experimental results give evidence of the efficiency and versatility of the proposed approach, using networks based on a time-triggered automotive Ethernet.
Keywords :
automotive electronics; computational complexity; divide and conquer methods; local area networks; scheduling; automotive electrical-electronic architecture; component integration; data-centric description; divide-and-conquer approach; integration complexity; modular architecture; modular design approach; schedule integration framework; time-triggered automotive Ethernet; time-triggered automotive architectures; time-triggered scheduling; Automotive engineering; Delays; Hardware; Optimal scheduling; Runtime; Schedules; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1145/2593069.2593211
Filename :
6881347
Link To Document :
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