Congestion detection in lossless networks
Yiran Zhang, Yifan Liu, Qingkai Meng, Fengyuan Ren
Abstract
Congestion detection is the cornerstone of end-to-end congestion control. Through in-depth observations and understandings, we reveal that existing congestion detection mechanisms in mainstream lossless networks (i.e., Converged Enhanced Ethernet and Infini-Band) are improper, due to failing to cognize the interaction between hop-by-hop flow controls and congestion detection behaviors in switches. We define ternary states of switch ports and present Ternary Congestion Detection (TCD) for mainstream lossless networks. Testbed and extensive simulations demonstrate that TCD can detect congestion ports accurately and identify flows contributing to congestion as well as flows only affected by hop-by-hop flow controls. Meanwhile, we shed light on how to incorporate TCD with rate control. Case studies show that existing congestion control algorithms can achieve 3.3× and 2.0× better median and 99th-percentile FCT slowdown by combining with TCD.
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Install the CLIlune papers fulltext 9629bc50-1462-4840-a94b-c636e03b3e65Cited by top-tier papers9
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