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Congestion Control Using In-Network Telemetry for Lossless Datacenters

Jin Wang1, Dongzhi Yuan1, Wangqing Luo1, Shuying Rao1, R. Simon Sherratt2, Jinbin Hu1,*

1 School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha, 410004, China
2 School of Systems Engineering, The University of Reading, Reading, RG6 6AY, UK

* Corresponding Author: Jinbin Hu. Email: email

Computers, Materials & Continua 2023, 75(1), 1195-1212. https://doi.org/10.32604/cmc.2023.035932

Abstract

In the Ethernet lossless Data Center Networks (DCNs) deployed with Priority-based Flow Control (PFC), the head-of-line blocking problem is still difficult to prevent due to PFC triggering under burst traffic scenarios even with the existing congestion control solutions. To address the head-of-line blocking problem of PFC, we propose a new congestion control mechanism. The key point of Congestion Control Using In-Network Telemetry for Lossless Datacenters (ICC) is to use In-Network Telemetry (INT) technology to obtain comprehensive congestion information, which is then fed back to the sender to adjust the sending rate timely and accurately. It is possible to control congestion in time, converge to the target rate quickly, and maintain a near-zero queue length at the switch when using ICC. We conducted Network Simulator-3 (NS-3) simulation experiments to test the ICC’s performance. When compared to Congestion Control for Large-Scale RDMA Deployments (DCQCN), TIMELY: RTT-based Congestion Control for the Datacenter (TIMELY), and Re-architecting Congestion Management in Lossless Ethernet (PCN), ICC effectively reduces PFC pause messages and Flow Completion Time (FCT) by 47%, 56%, 34%, and 15.3×, 14.8×, and 11.2×, respectively.

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Cite This Article

J. Wang, D. Yuan, W. Luo, S. Rao, R. Simon Sherratt et al., "Congestion control using in-network telemetry for lossless datacenters," Computers, Materials & Continua, vol. 75, no.1, pp. 1195–1212, 2023. https://doi.org/10.32604/cmc.2023.035932



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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