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.

翻译：随着汽车用例对动态行为需求的日益增长，软件定义汽车（SDVs）通过引入动态车载服务管理能力，已成为一种前景广阔的解决方案。在车辆运行过程中，用户可能请求多种服务，同时诸如协同车联网（V2X）服务等后台任务可根据实时路况动态激活。在此动态环境中，为满足混合关键度的车载服务质量（QoS）网络需求并确保最佳用户体验，车载资源的高效分配成为一项复杂挑战。此外，持续演变的实时网络连接与计算可用性状况进一步加剧了该过程的复杂性。在此背景下，本文提出一种基于资源的动态车载服务编排算法，该算法综合考虑实时车内及V2X网络状态与车载资源约束，为车载应用选择降级模式以最大化用户体验。为实现动态编排，我们引入汽车体验完整性等级（AXIL）概念，用以表征非安全关键应用的运行时优先级。仿真结果表明，相较于直接方法，该算法在显著减少执行时间的同时能产生近似最优解。通过本方法，我们旨在为聚焦用户体验的服务编排实现高效的车载执行。