• DocumentCode
    3600684
  • Title

    Measurement Study of Netflix, Hulu, and a Tale of Three CDNs

  • Author

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

  • Author_Institution
    Microsoft, Redmond, WA, USA
  • Volume
    23
  • Issue
    6
  • fYear
    2015
  • Firstpage
    1984
  • Lastpage
    1997
  • Abstract
    Netflix and Hulu are leading Over-the-Top (OTT) content service providers in the US and Canada. Netflix alone accounts for 29.7% of the peak downstream traffic in the US in 2011. Understanding the system architectures and performance of Netflix and Hulu can shed light on the design of such large-scale video streaming platforms, and help improving the design of future systems. In this paper, we perform extensive measurement study to uncover their architectures and service strategies. Netflix and Hulu bear many similarities. Both Netflix and Hulu video streaming platforms rely heavily on the third-party infrastructures, with Netflix migrating that majority of its functions to the Amazon cloud, while Hulu hosts its services out of Akamai. Both service providers employ the same set of three content distribution networks (CDNs) in delivering the video contents. Using active measurement study, we dissect several key aspects of OTT streaming platforms of Netflix and Hulu, e.g., employed streaming protocols, CDN selection strategy, user experience reporting, etc. We discover that both platforms assign the CDN to a video request without considering the network conditions and optimizing the user-perceived video quality. We further conduct the performance measurement studies of the three CDNs employed by Netflix and Hulu. We show that the available bandwidths on all three CDNs vary significantly over the time and over the geographic locations. We propose a measurement-based adaptive CDN selection strategy and a multiple-CDN-based video delivery strategy that can significantly increase users´ average available bandwidth.
  • Keywords
    computer networks; telecommunication traffic; video streaming; Amazon cloud; CDN Hulu measurement; CDN Netflix measurement; CDN Tale measurement; Canada; Hulu video streaming platform; Netflix video streaming platform; US; content distribution network; large-scale video streaming platform; measurement-based adaptive CDN selection strategy; multiple-CDN-based video delivery strategy; over-the-top content service providers; peak downstream traffic; third-party infrastructure; user-perceived video quality; video content delivering; video request; Bandwidth; Bit rate; Browsers; Computers; Motion pictures; Servers; Streaming media; CDN selection strategy; Hulu; Netflix; Over-the-Top (OTT) content service; content distribution networks (CDN); video streaming;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2014.2354262
  • Filename
    6915771