Technology Category
Planning, Routing, and Scheduling: SchedulingConstraint Satisfaction and Optimization: Distributed CSP/OptimizationSearch and Optimization: Sampling/Simulation-based Search
Deterministic Task Scheduling in In-Vehicle Networks for Software-Defined Vehicles
🤖 AI Summary
This work addresses the challenge that existing approaches fail to meet the stringent requirements of deterministic service and reliable resource scheduling for critical functions in software-defined vehicles. Targeting zonal electronic/electrical (E/E) architectures, the paper proposes a novel deterministic task scheduling method for in-vehicle networks that overcomes the limitations of conventional shortest-path or minimum-execution-time strategies. The approach achieves high determinism and load balancing across both wired and hybrid wired-wireless topologies by integrating centralized compute nodes with the zonal E/E architecture and employing a customized scheduling algorithm to jointly optimize task allocation and resource management. Experimental results demonstrate significant improvements in service determinism, resource utilization, and system scalability across diverse in-vehicle network topologies.
Technology Category
Application Category
📝 Abstract
Modern vehicles are embedding increasing levels of automation, connectivity, and intelligence, which require advanced in-vehicle networks and computational platforms to support the dependability and deterministic requirements of critical in-vehicle functions. To this end, the automotive industry is shifting towards software-defined vehicles (SDVs) and zonal E/E architectures with centralized computing nodes. Realizing the full potential of these new architectures requires an efficient management of the in-vehicles computational workload. In this context, this paper introduces a deterministic task scheduling approach for in-vehicle networks (IVN), and demonstrates that it can better guarantee deterministic service levels than alternative approaches based on the shortest path or the objective to minimize task execution time. Our evaluation also demonstrates that a deterministic task scheduling can satisfactorily support increasing in-vehicle computational workloads and tasks, and achieve a more balanced workload and resource utilization across the IVN. These gains are validated across a variety of IVN topologies, and in hybrid wireless-wired IVN implementations, where a gradual introduction of wireless offers increased in-vehicle connectivity diversity.
Problem
Research questions and friction points this paper is trying to address.
Deterministic Task Scheduling
In-Vehicle Networks
Software-Defined Vehicles
Workload Management
Deterministic Service
Innovation
Methods, ideas, or system contributions that make the work stand out.
deterministic task scheduling
software-defined vehicles
in-vehicle networks
zonal E/E architecture
workload balancing
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