• DocumentCode
    266767
  • Title

    On scheduling live media streaming in the cloud — A study

  • Author

    Gregoire, Jean-Charles ; Hamel, Angele M.

  • Author_Institution
    EMT, INRS, Varennes, QC, Canada
  • fYear
    2014
  • fDate
    19-19 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Content Delivery Networks have become commonly used by content providers such as Netflix to deliver TV programmes to a large number of customers. This solution however breaks down when intensive processing is required and when content cannot be stored ahead of time, as is the case with live (real time) content. We study here resource management issues when a cloud infrastructure is used to deliver live content. More specifically, we look at the allocation of machines to host servers and how to keep that number as small as possible while meeting user demand. We express the problem as an online bin packing model and show how, by exploiting a simple property of the media, we can derive an efficient solution.
  • Keywords
    cloud computing; content management; media streaming; scheduling; cloud infrastructure; content delivery networks; content providers; live media streaming; resource management; scheduling; Adaptation models; Bandwidth; Cloud computing; Resource management; Servers; Transcoding; Live media streaming; cloud computing; online bin packing; scheduling; transcoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2014 IEEE 15th International Symposium on a
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/WoWMoM.2014.6919000
  • Filename
    6919000