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IDTCP: An effective approach to mitigating the TCP incast problem in data center networks

Author

Listed:
  • Guodong Wang

    (Graduate University of Chinese Academy of Sciences
    Computer Network Information Center of Chinese Academy of Sciences)

  • Yongmao Ren

    (Computer Network Information Center of Chinese Academy of Sciences)

  • Ke Dou

    (Graduate University of Chinese Academy of Sciences
    Computer Network Information Center of Chinese Academy of Sciences)

  • Jun Li

    (Computer Network Information Center of Chinese Academy of Sciences)

Abstract

Recently, TCP incast problem in data center networks has attracted a wide range of industrial and academic attention. Lots of attempts have been made to address this problem through experiments and simulations. This paper analyzes the TCP incast problem in data centers by focusing on the relationships between the TCP throughput and the congestion control window size of TCP. The root cause of the TCP incast problem is explored and the essence of the current methods to mitigate the TCP incast is well explained. The rationality of our analysis is verified by simulations. The analysis as well as the simulation results provides significant implications to the TCP incast problem. Based on these implications, an effective approach named IDTCP (Incast Decrease TCP) is proposed to mitigate the TCP incast problem. Analysis and simulation results verify that our approach effectively mitigates the TCP incast problem and noticeably improves the TCP throughput.

Suggested Citation

  • Guodong Wang & Yongmao Ren & Ke Dou & Jun Li, 2014. "IDTCP: An effective approach to mitigating the TCP incast problem in data center networks," Information Systems Frontiers, Springer, vol. 16(1), pages 35-44, March.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:1:d:10.1007_s10796-013-9463-4
    DOI: 10.1007/s10796-013-9463-4
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    Cited by:

    1. Ching-Hsien Hsu & Jianhua Ma & Mohammad S. Obaidat, 2014. "Dynamic intelligence towards merging cloud and communication services," Information Systems Frontiers, Springer, vol. 16(1), pages 1-5, March.

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