Poster: Time Window ECN Filtering for Multiple-bottleneck RDMA Congestion Control

In RDMA data center networks with multiple bottlenecks, a sender may overestimate level of congestion because ECNs are marked independently at multiple bottleneck switches along the path. This congestion overestimation problem is difficult to address because the sender cannot identify where congestion signals are originated. In this paper, we propose a selective ECN marking method in which each switch filters ECN marks based on local congestion severity. Simulation results show that our method improves fairness and prevents excessive rate reduction in multiple-bottleneck scenarios.

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Publication Details

Published
2025-09-22
DOI
https://doi.org/10.1109/icnp65844.2025.11192331
Primary Topic
Ship Hydrodynamics and Maneuverability
Type
article
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article

Poster: Time Window ECN Filtering for Multiple-bottleneck RDMA Congestion Control

Ship Hydrodynamics and Maneuverability
article

Poster: Time Window ECN Filtering for Multiple-bottleneck RDMA Congestion Control

article en

Abstract

In RDMA data center networks with multiple bottlenecks, a sender may overestimate level of congestion because ECNs are marked independently at multiple bottleneck switches along the path. This congestion overestimation problem is difficult to address because the sender cannot identify where congestion signals are originated. In this paper, we propose a selective ECN marking method in which each switch filters ECN marks based on local congestion severity. Simulation results show that our method improves fairness and prevents excessive rate reduction in multiple-bottleneck scenarios.

Kansai University (JP)
Openalex Percentile: Top 43%
Ship Hydrodynamics and Maneuverability
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Poster: Time Window ECN Filtering for Multiple-bottleneck RDMA Congestion Control · (2025) | TGRS Research Map | TGRS