Enhancing Automotive User Experience with Dynamic Service Orchestration for Software Defined Vehicles

TL;DR

This paper proposes a dynamic onboard service orchestration algorithm for Software Defined Vehicles that optimizes user experience by considering real-time network and resource conditions, introducing the AXIL concept.

Contribution

It introduces a novel resource-based orchestration algorithm and the AXIL concept for real-time prioritization in SDVs, enhancing service management efficiency.

Findings

Algorithm achieves near-optimal solutions with reduced execution time.

Simulation results demonstrate improved resource allocation and user experience.

Effective handling of dynamic network and resource conditions in SDVs.

Abstract

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.