• DocumentCode
    117228
  • Title

    Analysis of performance issues in point-to-multipoint data transport for big data

  • Author

    Bakharev, A.V. ; Siemens, E. ; Shuvalov, V.P.

  • Author_Institution
    Siberian State Ubiversity of Telecommun. & Inf. Sci., Novosibirsk, Russia
  • fYear
    2014
  • fDate
    2-4 Oct. 2014
  • Firstpage
    431
  • Lastpage
    441
  • Abstract
    This paper describes the state of contemporary open-source reliable multicast solutions and reveals deficiencies regarding their use for massive data transport in Content Delivery Networks (CDN). A performance analysis of the three most popular open-source solutions - UDP-based File Transport Protocol, NACK-oriented Reliable Multicast and Pragmatic General Multicast in multi-gigabit IP-based networks has been performed in the 10Gigabit-WAN laboratory of the Future Internet Lab Anhalt of Anhalt University of Applied Sciences. This evaluation has been performed under the real-world scenario of heavyweight content distribution in Wide Area Networks. Performance evaluation presented in this paper reveals bottlenecks and deficiencies in current approaches. On this basis we propose new ideas for improvements and further development of the reliable multicast data delivery protocols family.
  • Keywords
    Big Data; IP networks; transport protocols; wide area networks; CDN; NACK-oriented reliable multicast; UDP-based file transport protocol; contemporary open-source reliable multicast solutions; content delivery networks; massive data transport; multi gigabit IP-based networks; point-to-multipoint data transport; pragmatic general multicast; reliable multicast data delivery protocols family; wide area networks; Big data; Data communication; IP networks; Packet loss; Protocols; Reliability; CDN; big data; cloud computing; network performance; reliable multicast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Actual Problems of Electronics Instrument Engineering (APEIE), 2014 12th International Conference on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    978-1-4799-6019-4
  • Type

    conf

  • DOI
    10.1109/APEIE.2014.7040934
  • Filename
    7040934