End-to-End Latency Optimization for Containerized ROS 2 Autonomous Driving Software
Year: 2025
Type: article
Abstract: One of the most significant shifts in software development is the growing prevalence of microservice-oriented and containerized applications. However, it faces challenges regarding timing and latency optimization. We present an optimization approach that has been specifically tailored to the use of containerized ROS 2 architectures. The optimization approach was implemented and evaluated using three different configurations, differing by the weighting of individual callback sequences of the system during optimization. Our experimental evaluation demonstrated the optimization of an autonomous racing software, developed for high-speed racing applications. The optimization yields a notable improvement in the maximum end-to-end latency by 22.47 % compared to the baseline measurement.
Source: IEEE Access
Authors: Tobias Betz, Harun Teper, Dominic Ebner, Maximilian Leitenstern, Simon Sagmeister, Marcel Weinmann, Jian-Jia Chen, Markus Lienkamp
Institutions: Technical University of Munich, TU Dortmund University
Language: English
Topic: Real-Time Systems Scheduling
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,075
OpenAlex ID: W4411599644