Enhancing Automotive User Experience with Dynamic Service Orchestration for Software Defined Vehicles
<|reference_start|>Enhancing Automotive User Experience with Dynamic Service Orchestration for Software Defined Vehicles: With the increasing demand for dynamic behaviors in automotive use cases, Software Defined Vehicles (SDVs) have emerged as a promising solution by bringing dynamic onboard service management capabilities. While users may request a wide range of services during vehicle operation, background tasks such as cooperative Vehicle-to-Everything (V2X) services can activate on-the-fly in response to real-time road conditions. In this dynamic environment, the efficient allocation of onboard resources becomes a complex challenge, in order to meet mixed-criticality onboard Quality-of-Service (QoS) network requirements while ensuring an optimal user experience. Additionally, the ever-evolving real-time network connectivity and computational availability conditions further complicate the process. In this context, we present a dynamic resource-based onboard service orchestration algorithm that considers real-time in-vehicle and V2X network health, along with onboard resource constraints, to select degraded modes for onboard applications and maximize user experience. To enable dynamic orchestration, we introduce the concept of Automotive eXperience Integrity Level (AXIL) which expresses a runtime priority for non-safety-critical applications. This algorithm produces near-optimal solutions while significantly reducing execution time compared to straightforward methods as demonstrated by simulation results. With this approach, we aim to enable efficient onboard execution for a user experience-focused service orchestration.<|reference_end|>
@article{laclau2024enhancing,
    title={Enhancing Automotive User Experience with Dynamic Service Orchestration
  for Software Defined Vehicles},
    author={Pierre Laclau (Heudiasyc), St'ephane Bonnet (Heudiasyc), Bertrand
  Ducourthial (Heudiasyc), Xiaoting Li, Trista Lin},
    journal={arXiv preprint arXiv:2407.02491},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.02491},
    primaryClass={cs.MA cs.NI}
}