• DocumentCode
    267099
  • Title

    Modeling and Understanding TCP´s Fairness Problem in Data Center Networks

  • Author

    Shuli Zhang ; Yan Zhang ; Yifang Qin ; Yanni Han ; Song Ci

  • Author_Institution
    High Performance Network Lab., Inst. of Acoust., Beijing, China
  • fYear
    2014
  • fDate
    15-18 Dec. 2014
  • Firstpage
    605
  • Lastpage
    610
  • Abstract
    Due to the special topologies and communication pattern, in today´s data center networks it is common that a large set of TCP flows and a small set of TCP flows get into different ingress ports of a switch and compete for a same egress port. However, in this case the throughput share of flows in the two sets will not be fair even though all flows have the same RTT. In this paper, we study this problem and find that TCP´s fairness in data center networks is related with not only the network capacity but also the number of flows in the two sets. We propose a mathematical model of the average throughput ratio of the large set of flows to the small set of flows. This model can reveal the variation of TCP´s fairness along with the change of network parameters (including buffer size, bandwidth, and propagation delay) as well as the number of flows in the two sets. We validate our model by comparing its numerical results with simulation results, finding that they match well.
  • Keywords
    computer centres; telecommunication network topology; transport protocols; TCP fairness problem modeling; TCP fairness problem understanding; TCP flows; average throughput ratio mathematical model; bandwidth; buffer size; communication pattern; data center networks; egress port; propagation delay; switch ingress ports; topology pattern; Bandwidth; Ports (Computers); Propagation delay; Steady-state; Switches; Throughput; Topology; TCP´s fairness; data center networks; model; network capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CloudCom.2014.153
  • Filename
    7037723