• DocumentCode
    45902
  • Title

    Sliding Mode Congestion Control for Data Center Ethernet Networks

  • Author

    Wanchun Jiang ; Fengyuan Ren ; Ran Shu ; Yongwei Wu ; Chuang Lin

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Central South Univ., Changsha, China
  • Volume
    64
  • Issue
    9
  • fYear
    2015
  • fDate
    Sept. 1 2015
  • Firstpage
    2675
  • Lastpage
    2690
  • Abstract
    Recently, Ethernet is enhanced as the unified switch fabric of data centers, called data center Ethernet. One of the indispensable enhancements is end-to-end congestion management, and currently quantized congestion notification (QCN) has been ratified as the corresponding standard. However, our experiments show that QCN suffers from large oscillations of the queue length at the bottleneck link such that the buffer is emptied frequently and accordingly the link utilization degrades, with certain system parameters and network configurations. This phenomenon is corresponding to our theoretical analysis result that QCN fails to enter into the sliding mode motion (SMM) pattern with certain system parameters and network configurations. Knowing the drawbacks of QCN and realizing the advantage that congestion management system is insensitive to the changes of parameters and network configurations in the SMM pattern, we present sliding mode congestion control (SMCC), which can enter into the SMM pattern under any conditions. SMCC is simple, stable, fair, has short response time, and can be easily used to replace QCN because both of them follow the framework developed by the IEEE 802.1Qau work group. Experiments on the NetFPGA platform show that SMCC is superior to QCN, especially when traffic pattern and network states are variable.
  • Keywords
    computer centres; computer network management; local area networks; telecommunication congestion control; telecommunication switching; variable structure systems; IEEE 802.1Qau work group; NetFPGA platform; QCN; SMCC; SMM pattern; congestion management system; data center Ethernet networks; end-to-end congestion management; network configurations; network states; quantized congestion notification; queue length; sliding mode congestion control; sliding mode motion pattern; system parameters; traffic pattern; unified switch fabric; Delays; Differential equations; Fabrics; Mathematical model; Shape; Switches; Trajectory; Data Center Ethernet; Data center ethernet; Quantized Congestion Notification; Sliding Mode Motion; quantized congestion notification; sliding mode motion;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.2014.2366733
  • Filename
    6960822