DHERC: Dynamic Hybrid ECN-RTT Congestion Control for RDMA Networks

Modern data centre networks demand ultra-low latency and high throughput, making Remote Direct Memory Access (RDMA) increasingly important. However, RDMA’s performance degrades significantly under congestion due to limited built-in congestion control. Existing approaches, based on Explicit Congestion Notification (ECN) and Round-Trip Time (RTT) suffer from limitations including delayed feedback and noisy signals when used alone. We propose Dynamic Hybrid ECN-RTT Congestion Control (DHERC), a novel algorithm that integrates RTT-based early detection with ECN-based confirmation to achieve balanced congestion control. Through extensive simulations, we demonstrate that DHERC outperforms state-of-the-art schemes across key performance metrics. DHERC achieves better flow completion time performance, improved throughput fairness, and good goodput efficiency while maintaining competitive tail performance. The results establish multi-signal congestion control as a promising approach for RDMA networks requiring predictable performance, efficiency, and fairness.

Authors

Institutions

Publication Details

Published
2025-09-15
DOI
https://doi.org/10.1109/lcn65610.2025.11146356
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DHERC: Dynamic Hybrid ECN-RTT Congestion Control for RDMA Networks

Winston K.G. Seah, Ran Huang, Jyoti Sahni
Network Traffic and Congestion Control
article

DHERC: Dynamic Hybrid ECN-RTT Congestion Control for RDMA Networks

Winston K.G. Seah, Ran Huang, Jyoti Sahni
article en

Abstract

Modern data centre networks demand ultra-low latency and high throughput, making Remote Direct Memory Access (RDMA) increasingly important. However, RDMA’s performance degrades significantly under congestion due to limited built-in congestion control. Existing approaches, based on Explicit Congestion Notification (ECN) and Round-Trip Time (RTT) suffer from limitations including delayed feedback and noisy signals when used alone. We propose Dynamic Hybrid ECN-RTT Congestion Control (DHERC), a novel algorithm that integrates RTT-based early detection with ECN-based confirmation to achieve balanced congestion control. Through extensive simulations, we demonstrate that DHERC outperforms state-of-the-art schemes across key performance metrics. DHERC achieves better flow completion time performance, improved throughput fairness, and good goodput efficiency while maintaining competitive tail performance. The results establish multi-signal congestion control as a promising approach for RDMA networks requiring predictable performance, efficiency, and fairness.

Victoria University of Wellington (NZ)
Openalex Percentile: Top 72%
Network Traffic and Congestion Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.