ROS 2自動運転ソフトウェア向けコンテナ化マイクロサービスアーキテクチャ：エンドツーエンド遅延評価
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
自動運転ソフトウェアをコンテナで分離したマイクロサービス構成にし、エンドツーエンド遅延やジッタ、リソース使用率を評価した。その結果、ベアLinuxより平均遅延が5〜8%改善し、最大遅延も大幅に削減できることを示した。
著者: Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz
分類: cs.RO
原文アブストラクト
The automotive industry is transitioning from traditional ECU-based systems to software-defined vehicles. A central role of this revolution is played by containers, lightweight virtualization technologies that enable the flexible consolidation of complex software applications on a common hardware platform. Despite their widespread adoption, the impact of containerization on fundamental real-time metrics such as end-to-end latency, communication jitter, as well as memory and CPU utilization has remained virtually unexplored. This paper presents a microservice architecture for a real-world autonomous driving application where containers isolate each service. Our comprehensive evaluation shows the benefits in terms of end-to-end latency of such a solution even over standard bare-Linux deployments. Specifically, in the case of the presented microservice architecture, the mean end-to-end latency can be improved by 5-8 %. Also, the maximum latencies were significantly reduced using container deployment.
