Computer Science

Computer Science ›› 2025, Vol. 52 ›› Issue (8): 335-342.doi: 10.11896/jsjkx.250100056

• Computer Network • Previous Articles     Next Articles

Cubic+:Enhanced Cubic Congestion Control for Cross-datacenter Networks

LONG Tie, XIAO Fu, FAN Weibei, HE Xin, WANG Junchang   

  1. School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Received:2025-01-09 Revised:2025-05-08 Online:2025-08-15 Published:2025-08-08
  • About author:LONG Tie,born in 1999,postgraduate.His main research interests include computer networks and congestion control.
    XIAO Fu,born in 1980,Ph.D,professor,Ph.D supervisor.His main research interests include computer networks and Internet of Things.
  • Supported by:
    Key R&D Program of Jiangsu Provincial Natural Science Foundation(SBK2024100096).

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Abstract: Cross-datacenter networks connect data center networks(DCNs) across regions via wide-area networks(WANs),supporting distributed applications to deliver high-quality services.However,differences in buffer sizes and round-trip times between DCNs and WANs challenge the Cubic algorithm,leading to inaccurate rate reductions,high packet loss,and poor compatibility with other algorithms.To address these challenges,this paper proposes Cubic+,an improved version of Cubic that adapts to different congestion patterns.Specifically,Cubic+ integrates delay,ECN(Explicit Congestion Notification),and packet loss signals.Cubic+ adapts to shallow-buffered switch congestion by periodically emptying queues and quickly reduces packet backlogs for deep-buffered routers.Large-scale NS3 simulations show Cubic+ reduces average flow completion time by up to 20.77% and 99th percentile completion time by 15.88%,offering a high-throughput solution for cross-datacenter networks.

Key words: Datacenter networks, Congestion control, Throughput fairness, TCP transmission, Wide-area networks

CLC Number: 

  • TP393
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