• DocumentCode
    1372805
  • Title

    Queueing-based TCP congestion estimator

  • Author

    Cong, Lei ; Lu, Guo-Quan ; Chen, Yuanfeng ; Rashvand, Habib F. ; Deng, Binwei ; Li, Xin

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    4
  • Issue
    16
  • fYear
    2010
  • Firstpage
    1974
  • Lastpage
    1986
  • Abstract
    In practice, because of their saturating affects, potentially all traditional transmission control protocol (TCP) congestion estimators effectively degrade the operational performance and efficiency of virtually all high-speed networks. Here the authors adopt a novel idea of using queueing-based estimator to estimate the TCP operating points ahead of their occurrence of network congestion. For this purpose the authors employ recent work of packet time-series analysis. In order to demonstrate the effectiveness of the idea, the authors embed the new estimator into several TCP variants in NS-2 and Linux kernel. For this evaluation the authors have programmed the simulation system to simulate a wide range of classic operating environments and setup many practical test-bed emulators for measurements. The authors results show that the idea of using a queueing-based estimator provides us far more earlier, sensitive and consistent estimation for the operating point than the classic loss/delay-based TCP traffic estimators. The authors then show that the new approach improves the overall estimation efficiency and provides higher performance and fairness when monitoring TCP traffic.
  • Keywords
    delay estimation; queueing theory; telecommunication traffic; time series; transport protocols; Linux kernel; NS-2 simulation; TCP traffic monitoring; delay-based TCP traffic estimators; high-speed networks; network congestion; packet time-series analysis; queueing-based TCP congestion estimator; test-bed emulators; transmission control protocol congestion estimators;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2010.0034
  • Filename
    5624663