A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
<|reference_start|>A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation: 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.<|reference_end|>
@article{betz2024a,
    title={A Containerized Microservice Architecture for a ROS 2 Autonomous Driving
  Software: An End-to-End Latency Evaluation},
    author={Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander
  Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz},
    journal={arXiv preprint arXiv:2404.12683},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.12683},
    primaryClass={cs.RO}
}