Cross-Layer Design of Automotive Systems
Zhilu Wang, Hengyi Liang, Chao Huang, Qi Zhu

TL;DR
This paper discusses cross-layer design strategies for automotive systems, emphasizing the importance of holistic approaches and a new methodology using weakly-hard paradigms to enhance system performance.
Contribution
It introduces several cross-layer design approaches and a novel methodology leveraging weakly-hard scheduling for automotive system optimization.
Findings
Cross-layer approaches improve automotive system design.
Weakly-hard paradigm enhances system performance.
Demonstrated effectiveness of holistic design methods.
Abstract
With growing system complexity and closer cyber-physical interaction, there are increasingly stronger dependencies between different function and architecture layers in automotive systems. This paper first introduces several cross-layer approaches we developed in the past for holistically addressing multiple system layers in the design of individual vehicles and of connected vehicle applications; and then presents a new methodology based on the weakly-hard paradigm for leveraging the scheduling flexibility in architecture layer to improve the system performance at function layer. The results of these works demonstrate the importance and effectiveness of cross-layer design for automotive systems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsReal-Time Systems Scheduling · Embedded Systems Design Techniques · Formal Methods in Verification
