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DiffECN: Differential ECN Marking for Datacenter Networks

delete2025-02-01
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PRE
AI
H
Hanlin Huang
徐恪 封面图
徐恪 (Ke Xu) *
T
Tong Li *
Z
Zhuotao Liu
X
Xinle Du
X
Xiangyu Gao
DOI:10.1109/TNET.2024.3477511delete
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摘要

摘要

En 中文
ECN marking has been integrated into datacenter switches to enable high-throughput and low-latency transport. We observe that current marking schemes are coarse-grained: they blindly mark all flows when congestion occurs, causing large flows to occupy undeserved bandwidth and preventing newly arriving small flows from finishing quickly. In this paper, we propose, a differential marking strategy that marks only the flows that are the culprits of congestion and protects the remaining flows from being limited. We have implemented it in the Barefoot Tofino switch and performed extensive evaluations via both physical testbed and large-scale simulations. The results show that can restrain flows responsible for congestion successfully while providing desirable network performance. For instance, compared to the legacy way of ECN marking, achieves up to 32.5% (40.1%) lower average (99th percentile) flow completion time (FCT) for small flows while delivering similar FCT for large flows under production workloads.
Keyword:
ECN marking
congestion control
datacenter network
datacenter network
datacenter network

期刊

I
IEEE-ACM Transactions on Networking
IF:
3.6
论文数:
4.4K
被引数:
9.5K

机构

H
huawei technologies
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3.3K
论文数: 2.9K
被引数: 1
T
tsinghua university
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11.9W
论文数: 10.0W
被引数: 137
R
Renmin University of China
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8.1K
论文数: 7.7K
被引数: 1.1W
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