ECP: Improving the Accuracy of Congesting-Packets Identification in High-Performance Interconnection Networks

Interconnection networks are crucial in data centers and supercomputers, ensuring high communication bandwidth and low latency under demanding traffic patterns from data-intensive applications. These patterns can cause congestion, affecting system performance if not addressed efficiently. Current congestion control techniques, like DCQCN, struggle to precisely identify which packets cause congestion, leading to false positives. To address this, we propose the Enhanced Congestion Point (ECP) mechanism, which accurately identifies congesting packets. ECP monitors packets at the head of switch ingress queues, flagging them as congesting when queue occupancy exceeds a threshold and packet requests are rejected. Additionally, ECP introduces a re-evaluation mechanism to cancel the identification of congesting packets if they no longer contribute to congestion after rerouting. We evaluated ECP using a network simulator modeling various configurations and realistic traffic patterns. Results show that ECP significantly improves congestion detection accuracy with a low error margin, enhancing DCQCN performance.

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Publication Details

Journal
IEEE Micro
Published
2025-01-10
DOI
https://doi.org/10.1109/mm.2025.3527722
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
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article

ECP: Improving the Accuracy of Congesting-Packets Identification in High-Performance Interconnection Networks

Jesús Escudero‐Sahuquillo, Pedro J. García, J. Duato, Francisco J. Quiles et al.
IEEE Micro
Interconnection Networks and Systems
article

ECP: Improving the Accuracy of Congesting-Packets Identification in High-Performance Interconnection Networks

Jesús Escudero‐Sahuquillo, Pedro J. García, J. Duato, Francisco J. Quiles, Cristina Olmedilla, Yan Long, Wenhao Sun, Yunping Lyu
article en

Abstract

Interconnection networks are crucial in data centers and supercomputers, ensuring high communication bandwidth and low latency under demanding traffic patterns from data-intensive applications. These patterns can cause congestion, affecting system performance if not addressed efficiently. Current congestion control techniques, like DCQCN, struggle to precisely identify which packets cause congestion, leading to false positives. To address this, we propose the Enhanced Congestion Point (ECP) mechanism, which accurately identifies congesting packets. ECP monitors packets at the head of switch ingress queues, flagging them as congesting when queue occupancy exceeds a threshold and packet requests are rejected. Additionally, ECP introduces a re-evaluation mechanism to cancel the identification of congesting packets if they no longer contribute to congestion after rerouting. We evaluated ECP using a network simulator modeling various configurations and realistic traffic patterns. Results show that ECP significantly improves congestion detection accuracy with a low error margin, enhancing DCQCN performance.

IEEE MicroVol. 45(2)
Real Academia Española (ES), Huawei Technologies (China) (CN), University of Castilla-La Mancha (ES), Royal Academy of Engineering (GB)
Climate action
Openalex Percentile: Top 100%
Interconnection Networks and Systems
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ECP: Improving the Accuracy of Congesting-Packets Identification in High-Performance Interconnection Networks — Jesús Escudero‐Sahuquillo, Pedro J. García, et al. · IEEE Micro (2025) | TGRS Research Map | TGRS