Skip to content
aiqbench takeMachine Learning

aiqbench analysis

This article addresses backpressure mitigation in ROS 2 systems by introducing Adaptive Bridge, a proxy layer that decouples critical from non-critical subscribers to prevent latency degradation across safety-critical nodes. The system employs adaptive rate control and topic splitting under DDS protocols, demonstrating significant improvements in tail latency even when subjected to bursty wireless loss conditions. While the work involves networking architecture within robotics frameworks, its core contribution lies in optimizing data distribution reliability for AI-driven robotic systems rather than focusing on general consumer electronics or standard connectivity issues.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Adaptive Bridge: A Proxy-Based Decoupling Layer for Mitigating DDS Backpressure in ROS 2

arXiv2 min read

arXiv:2608.15380v1 Announce Type: cross Abstract: In ROS 2 systems using DDS, a single slow subscriber on a RELIABLE topic can cause backpressure that degrades throughput and latency for all subscribers sharing the same publisher, including safety-critical local nodes. We present Adaptive Bridge, a proxy-based decoupling layer that isolates critical subscribers from noncritical ones through topic splitting and adaptive rate control. The proxy subscribes to the original topic and republishes onto two independent DDS writers, one RELIABLE for critical consumers and one BEST_EFFORT for noncritical consumers, breaking the causal chain of backpressure propagation. A probe-based classifier monitors subscriber health with hysteresis and adjusts noncritical rate limits in real time. We evaluate the system under Gilbert-Elliot bursty wireless loss using a reproducible Docker-based harness. Results show the bridge reduces critical subscriber tail latency from up to 15 seconds to under 2 milliseconds at p95 and preserves publisher throughput at 30 Hz regardless of impairment severity.

Abstract:In ROS 2 systems using DDS, a single slow subscriber on a RELIABLE topic can cause backpressure that degrades throughput and latency for all subscribers sharing the same publisher, including safety-critical local nodes. We present Adaptive Bridge, a proxy-based decoupling layer that isolates critical subscribers from noncritical ones through topic splitting and adaptive rate control. The proxy subscribes to the original topic and republishes onto two independent DDS writers, one RELIABLE for critical consumers and one BEST_EFFORT for noncritical consumers, breaking the causal chain of backpressure propagation. A probe-based classifier monitors subscriber health with hysteresis and adjusts noncritical rate limits in real time. We evaluate the system under Gilbert-Elliot bursty wireless loss using a reproducible Docker-based harness. Results show the bridge reduces critical subscriber tail latency from up to 15 seconds to under 2 milliseconds at p95 and preserves publisher throughput at 30 Hz regardless of impairment severity.

Networking and Internet Architecture (cs.NI); Robotics (cs.RO)

arXiv:2608.15380 [cs.NI]

(or arXiv:2608.15380v1 [cs.NI] for this version)

https://doi.org/10.48550/arXiv.2608.15380 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 246 words

Related coverage