Recent advancement in the functionality and new customer features in modern vehicles, especially autonomous vehicles, requires massive computational power and high-bandwidth on-board real-time communication. While there is a lot of research done to meet the challenge of computational requirements, relatively small efforts have been spent to deal with the challenge of supporting the high-bandwidth onboard communication requirements. In a recent effort to support high-bandwidth low-latency onboard real-time communication in modern vehicles, the IEEE Time-Sensitive Networking (TSN) task group has developed a set of standards targeting different classes of real-time traffic, support for time-triggered traffic at the same time as non-real-time traffic, support for resource reservation for different classes of traffic, support for clock synchronization, and providing several traffic shapers. However, a complete development support including modelling, timing analysis, configuration, deployment and execution for vehicular applications that use TSN is still missing from the state of the art. Since TSN is a complex technology with many options and configuration possibilities; taking full advantage of TSN in execution of complex vehicular functions is daunting task. This project aims at developing innovative techniques to provide a full-fledged development environment for vehicular applications that use TSN as the backbone for on-board communication. One unique characteristic of the project consortium is that it offers a clear value chain from academia (MDH), through the tool developer/vendor (Arcticus), and to the end user of the technology (Volvo), who will use the techniques and tools to develop prototype vehicles.
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Supporting End-to-end Data-propagation Delay Analysis for TSN Networks (Nov 2021) Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen MRTC Report, Mälardalen Real-Time Research Centre (MRTC 2021)
Implications of Various Preemption Configurations in TSN Networks (Oct 2021) Mohammad Ashjaei, Lejla Murselović , Saad Mubeen IEEE Embedded Systems Letters (Embed Syst Lett)
Scheduling Elastic Applications in Compositional Real-Time Systems (Sep 2021) Shaik Salman, Alessandro Papadopoulos, Filip Markovic, Saad Mubeen, Thomas Nolte 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
Schedulability Analysis of Best-Effort Traffic in TSN Networks (Sep 2021) Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Sara Afshar, Saad Mubeen 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
Offloading Accelerator-intensive Workloads in CPU-GPU Heterogeneous Processors (Sep 2021) Nandinbaatar Tsog, Saad Mubeen, Fredrik Bruhn, Moris Behnam, Mikael Sjödin 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)