REN: Receiver-Driven Congestion Control Using Explicit Notification for Data Center

被引:2
|
作者
Li, Zhaoyi [1 ,2 ]
Huang, Jiawei [1 ]
Hu, Jinbin [1 ]
Li, Weihe [1 ]
Zhang, Tao [1 ]
Liu, Jingling [1 ]
Wang, Jianxin [1 ]
He, Tian [3 ]
机构
[1] Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Hunan, Peoples R China
[2] Sci & Technol Parallel & Distributed Proc Lab PDL, Changsha 410073, Hunan, Peoples R China
[3] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
基金
中国国家自然科学基金;
关键词
Data center; receiver-driven; latency; link utilization;
D O I
10.1109/TCC.2021.3135027
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, receiver-driven transport protocols have been proposed to use proactive congestion control to meet the stringent latency requirements of large-scale applications in data center. However, the receiver-driven proposals face the challenges brought by network dynamic. First, when the bursty flows start, the aggressive and blind line-rate transmission in the first RTT easily leads to persistent queue backlog. Second, when some flows finish transmissions, the remaining ones cannot increase their sending rates to seize the available bandwidth. To address these problems, this article presents a new receiver-driven congestion control design, called REN, which uses the under- and over-utilization notifications from switch to handle the dynamic traffic. With the aid of explicit feedback, REN alleviates the traffic burstiness due to aggressive start, mitigates the conservativeness in utilizing available bandwidth, and still retains the receiver-driven feature to achieve ultra-low latency. We implement the prototype of REN using DPDK. The experimental results of real testbed and large-scale NS2 simulation show that REN effectively reduces the average flow completion time (AFCT) by up to 68% over the state-of-the-art receiver-driven transmission schemes.
引用
收藏
页码:1381 / 1394
页数:14
相关论文
共 50 条
  • [31] Intelligent Active Queue Management Using Explicit Congestion Notification
    Gomez, Cesar A.
    Wang, Xianbin
    Shami, Abdallah
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [32] Fairness improvement method using explicit congestion notification for QUIC
    Uchida, Nobuhiro
    Nobayashi, Daiki
    Cavendish, Dirceu
    Ikenaga, Takeshi
    IEICE COMMUNICATIONS EXPRESS, 2024, 13 (06): : 222 - 226
  • [33] Nuwa: A Receiver-driven Congestion Control Framework to Achieve High-throughput and Controlled Delay over Dynamic Wireless Networks
    Gong, Guanghui
    Jiang, Xianliang
    Xie, Yi
    Jin, Guang
    Zhang, Jianan
    Chen, Haiming
    2022 IEEE 28TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS, ICPADS, 2022, : 147 - 154
  • [34] Optimal policy of a window flow control scheme with Explicit Congestion Notification
    Kimura, Mitsutaka
    Imaizumi, Mitsuhiro
    Yasui, Kazumi
    TWELFTH ISSAT INTERNATIONAL CONFERENCE RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS, 2006, : 154 - +
  • [35] On Explicit Congestion Notification for Stream Control Transmission Protocol in Lossy Networks
    Guanhua Ye
    Tarek N. Saadawi
    Myung Lee
    Cluster Computing, 2005, 8 : 147 - 156
  • [36] On explicit congestion notification for stream control transmission protocol in lossy networks
    Ye, GH
    Saadawi, TN
    Lee, M
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2005, 8 (2-3): : 147 - 156
  • [37] Harmonia: Explicit Congestion Notification and Credit-Reservation Transport Converged Congestion Control in Datacenters
    Ding-Huang Hu
    De-Zun Dong
    Yang Bai
    Shan Huang
    Ze-Jia Zhou
    Zi-Hao Wei
    Xiang-Ke Liao
    Journal of Computer Science and Technology, 2021, 36 : 1071 - 1086
  • [38] Harmonia: Explicit Congestion Notification and Credit-Reservation Transport Converged Congestion Control in Datacenters
    Hu, Ding-Huang
    Dong, De-Zun
    Bai, Yang
    Huang, Shan
    Zhou, Ze-Jia
    Wei, Zi-Hao
    Liao, Xiang-Ke
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021, 36 (05) : 1071 - 1086
  • [39] Analysing Convergence of Quantized Congestion Notification in Data Center Ethernet
    Shu, Ran
    Zhang, Jiao
    Ren, Fengyuan
    Lin, Chuang
    2014 IEEE 22ND INTERNATIONAL SYMPOSIUM OF QUALITY OF SERVICE (IWQOS), 2014, : 71 - 80
  • [40] A new pricing approach for service network using explicit congestion notification
    Tao, Jun
    Shuai, Dian-Xun
    APSCC: 2006 IEEE ASIA-PACIFIC CONFERENCE ON SERVICES COMPUTING, PROCEEDINGS, 2006, : 585 - +