Determination of Real-Time Network Configuration for Self-Adaptive Automotive Systems
The Electric/Electronic architecture of vehicle becomes more complex and costly, self-adaption can reduce the system, enhance the adaptive meanwhile reduce energy consumption and costs. The self-adaption needs the cooperation of both hardware and software reconfigurations, such that after the softwa...
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| Format: | Dissertation |
| Language: | English |
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Universitätsbibliothek Chemnitz
2015
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| Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-165180 http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-165180 http://www.qucosa.de/fileadmin/data/qucosa/documents/16518/Masterarbeit_Ziming_Zhang.pdf http://www.qucosa.de/fileadmin/data/qucosa/documents/16518/signatur.txt.asc |
| Summary: | The Electric/Electronic architecture of vehicle becomes more complex and costly, self-adaption can reduce the system, enhance the adaptive meanwhile reduce energy consumption and costs. The self-adaption needs the cooperation of both hardware and software reconfigurations, such that after the software is reconfigured the automotive network continues to fulfill the time constraints for time-critical applications. The thesis focuses on the real-time network reconfiguration. It uses EAST-ADL to model a real-time automotive system with timing events and constraints, which conforms to AUTOSAR timing extensions. The network media access is analyzed based on the model and a scheduling algorithm is developed. Then the concept is implemented by a use case, which is transformed from an EAST-ADL model to an executable simulation. |
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