通过动态服务编排提升软件定义车辆的汽车用户体验
Enhancing Automotive User Experience with Dynamic Service Orchestration for Software Defined Vehicles
AI总结：
本文针对软件定义车辆中动态服务编排问题，提出基于实时网络健康与资源约束的编排算法，并引入AXIL优先级概念，在保证接近最优用户体验的同时显著降低执行时间。
摘要：
随着汽车用例中对动态行为的需求日益增长，软件定义车辆（SDVs）作为一种有前景的解决方案应运而生，它带来了动态的车载服务管理能力。虽然用户在车辆运行期间可能请求广泛的服务，但诸如协作式车联网（V2X）服务等后台任务可以响应实时路况而即时激活。在这种动态环境中，为了满足混合关键性车载服务质量（QoS）网络需求，同时确保最佳用户体验，高效分配车载资源成为一个复杂的挑战。此外，不断变化的实时网络连接和计算可用性条件进一步使该过程复杂化。在此背景下，我们提出了一种基于动态资源的车载服务编排算法，该算法考虑实时车内和V2X网络健康状况以及车载资源约束，为车载应用选择降级模式并最大化用户体验。为了实现动态编排，我们引入了汽车体验完整性等级（AXIL）的概念，它表达非安全关键型应用的运行时优先级。仿真结果表明，与直接方法相比，该算法能够产生接近最优的解决方案，同时显著缩短执行时间。通过这种方法，我们旨在实现以用户体验为中心的服务编排的高效车载执行。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
