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FCC : A Fast-Converging Low-Latency Congestion Control Algorithm for Datacenter RDMA Network

Published: 03 August 2024 Publication History

Abstract

Congestion control plays a crucial role in ensuring the performance of data center networks. However, mainstream RDMA congestion control algorithms still face challenges such as slow congestion response and poor deployability. In this paper, we propose a novel fast-convergence congestion control algorithm, FCC, to address these shortcomings. FCC leverages Explicit Congestion Notification (ECN) and Round-Trip Time (RTT) signals, utilizing the gradient of RTT to enhance response speed and employing a Sigmoid curve for rate increment. Through experiments, we demonstrate that compared to existing state-of-the-art algorithms, FCC achieves superior performance in terms of convergence speed, fairness, and small flow latency metrics.

References

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Mohammad Alizadeh, Albert Greenberg, David A. Maltz, Jitendra Padhye, Parveen Patel, Balaji Prabhakar, Sudipta Sengupta, and Murari Sridharan. 2010. Data center TCP (DCTCP). SIGCOMM Comput. Commun. Rev. 40, 4 (aug 2010), 63–74. https://doi.org/10.1145/1851275.1851192
[2]
Yuliang Li, Rui Miao, Hongqiang Harry Liu, Yan Zhuang, Fei Feng, Lingbo Tang, Zheng Cao, Ming Zhang, Frank Kelly, Mohammad Alizadeh, and Minlan Yu. 2019. HPCC: high precision congestion control. In Proceedings of the ACM Special Interest Group on Data Communication (Beijing, China) (SIGCOMM ’19). Association for Computing Machinery, New York, NY, USA, 44–58. https://doi.org/10.1145/3341302.3342085
[3]
Radhika Mittal, Vinh The Lam, Nandita Dukkipati, Emily Blem, Hassan Wassel, Monia Ghobadi, Amin Vahdat, Yaogong Wang, David Wetherall, and David Zats. 2015. TIMELY: RTT-based Congestion Control for the Datacenter. SIGCOMM Comput. Commun. Rev. 45, 4 (aug 2015), 537–550. https://doi.org/10.1145/2829988.2787510
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Arjun Roy, Hongyi Zeng, Jasmeet Bagga, George Porter, and Alex C. Snoeren. 2015. Inside the Social Network’s (Datacenter) Network. SIGCOMM Comput. Commun. Rev. 45, 4 (aug 2015), 123–137. https://doi.org/10.1145/2829988.2787472
[5]
Yibo Zhu, Haggai Eran, Daniel Firestone, Chuanxiong Guo, Marina Lipshteyn, Yehonatan Liron, Jitendra Padhye, Shachar Raindel, Mohamad Haj Yahia, and Ming Zhang. 2015. Congestion Control for Large-Scale RDMA Deployments. SIGCOMM Comput. Commun. Rev. 45, 4 (aug 2015), 523–536. https://doi.org/10.1145/2829988.2787484

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  1. FCC : A Fast-Converging Low-Latency Congestion Control Algorithm for Datacenter RDMA Network

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    APNet '24: Proceedings of the 8th Asia-Pacific Workshop on Networking
    August 2024
    230 pages
    ISBN:9798400717581
    DOI:10.1145/3663408
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 August 2024

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    Author Tags

    1. ECN
    2. RDMA congestion control
    3. RTT
    4. Sigmoid-AI.

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    APNet '24 Paper Acceptance Rate 50 of 118 submissions, 42%;
    Overall Acceptance Rate 50 of 118 submissions, 42%

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