• DocumentCode
    2762028
  • Title

    A Novel Congestion Control Algorithm for High Performance Bulk Data Transfer

  • Author

    Ren, Yongmao ; Tang, Haina ; Li, Jun ; Qian, Hualin

  • Author_Institution
    Comput. Network Inf. Center, Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    9-11 July 2009
  • Firstpage
    288
  • Lastpage
    291
  • Abstract
    Most of existing transfer protocols performs poorly for transferring bulk data over fast long distance network. A key reason is the congestion control algorithm. This paper designs a novel congestion control algorithm, namely congestion detection and rate adaptation (CDRA) algorithm, which adjusts sending rate according to the congestion level of terminal in order to maximize transfer performance. For implementation, a modified protocol based on the UDP-based protocol Tsunami, called robust Tsunami (RTsunami), was developed. The experimental results show that the CDRA algorithm is efficient and the RTsunami protocol outperforms Tsunami.
  • Keywords
    optical fibre networks; queueing theory; telecommunication congestion control; transport protocols; CDRA algorithm; FLDnet; RTsunami protocol; buffer occupancy; congestion control algorithm; congestion-detection-and-rate-adaptation algorithm; fast long-distance optical network; high-performance bulk data transfer protocol; queue length; robust Tsunami UDP-based protocol; transfer performance maximization; transport protocol; Algorithm design and analysis; Application software; Bismuth; Computer applications; Computer networks; Delay; High performance computing; High-speed networks; Protocols; Tsunami; Bulk Data Transfer; Congestion Control; High Speed Network; Transport Protocol;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications, 2009. NCA 2009. Eighth IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-3698-9
  • Electronic_ISBN
    978-0-7695-3698-9
  • Type

    conf

  • DOI
    10.1109/NCA.2009.23
  • Filename
    5190387