Configuration and Timing Analysis of TSN-based Distributed Embedded Systems : Configuration and Timing Analysis of TSN-based Distributed Embedded Systems
Sammanfattning: The set of IEEE Time-Sensitive Networking (TSN) standards is an emerging candidatefor backbone communication in modern applications of real-time distributed embeddedsystems. TSN provides various traffic shaping mechanisms that aim at managing thetiming requirements of traffic. Emerging applications of these technologies, particu-larly in the automotive domain, often run complex distributed software that requireslow-latency and high-bandwidth communication across multiple onboard electroniccontrol units. Using TSN in these systems introduces multiple challenges. Specifically,developers face a lack of development techniques and tools, as TSN standards onlyoffer general recommendations for the use of its features and mechanisms. There is anurgent need for development techniques, tools, and methods to assist the developers ofdistributed embedded systems in effectively leveraging the features outlined in TSNstandards.In this thesis, we identify and tackle some of the challenges in the development ofTSN-based distributed embedded systems, including the stages: system and softwaremodeling, network configuration, and timing analysis. The overall goal of this thesis isto support the development of these systems in the aforementioned stages while consid-ering the Quality of Service (QoS) requirements of all traffic classes in TSN. We presenttechniques to facilitate the system and software modeling of TSN-based distributedembedded systems. These techniques enable performing timing analysis in the earlystages of system and software development. In the stage of network configuration,we propose techniques for managing the configuration complexity and supporting theautomatic configuration of mechanisms in TSN. The proposed configuration techniquesconsider achieving acceptable QoS in various traffic classes. In the stage of timinganalysis, we address the challenges of incorporating various TSN traffic classes andmechanisms by extending the existing timing analyses. The results indicate that theproposed techniques effectively facilitate the system and software modeling, networkconfiguration, and timing analysis of TSN-based distributed embedded systems.
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