• DocumentCode
    2014706
  • Title

    Unreeling netflix: Understanding and improving multi-CDN movie delivery

  • Author

    Adhikari, Vijay Kumar ; Guo, Yang ; Hao, Fang ; Varvello, Matteo ; Hilt, Volker ; Steiner, Moritz ; Zhang, Zhi-Li

  • Author_Institution
    Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1620
  • Lastpage
    1628
  • Abstract
    Netflix is the leading provider of on-demand Internet video streaming in the US and Canada, accounting for 29.7% of the peak downstream traffic in US. Understanding the Netflix architecture and its performance can shed light on how to best optimize its design as well as on the design of similar on-demand streaming services. In this paper, we perform a measurement study of Netflix to uncover its architecture and service strategy. We find that Netflix employs a blend of data centers and Content Delivery Networks (CDNs) for content distribution. We also perform active measurements of the three CDNs employed by Netflix to quantify the video delivery bandwidth available to users across the US. Finally, as improvements to Netflix´s current CDN assignment strategy, we propose a measurement-based adaptive CDN selection strategy and a multiple-CDN-based video delivery strategy, and demonstrate their potentials in significantly increasing user´s average bandwidth.
  • Keywords
    Internet; bandwidth allocation; computer centres; video on demand; video streaming; CDN assignment strategy; Canada; Netflix architecture; US; content delivery networks; content distribution; data centers; measurement-based adaptive CDN selection strategy; multiCDN movie delivery bandwidth; on-demand Internet video streaming; on-demand streaming services; peak downstream traffic; service strategy; user average bandwidth; video delivery bandwidth; video delivery strategy; Bandwidth; Bit rate; Browsers; Computers; Motion pictures; Servers; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2012 Proceedings IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-0773-4
  • Type

    conf

  • DOI
    10.1109/INFCOM.2012.6195531
  • Filename
    6195531