• DocumentCode
    2014785
  • Title

    Energy efficient delivery of immersive video centric services

  • Author

    Llorca, Jaime ; Guan, Kyle ; Atkinson, Gary ; Kilper, Daniel C.

  • Author_Institution
    Bell Labs., Alcatel-Lucent, Holmdel, NJ, USA
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1656
  • Lastpage
    1664
  • Abstract
    We examine the basic energy tradeoffs between video transport and video processing for services such as multi-view video (MVV) streaming, where multiple media streams are combined and processed to create an immersive and personalized user experience. We analyze and compare the energy efficiency of different architectural options for the location of video processing functions and illustrate how the architecture of choice is influenced by the network topology, the users´ view preferences, and the relative transport-processing energy efficiency. We provide an integer linear programming formulation for the energy efficient functional resource allocation problem, which we show it can be solved as a linear program, and an easily implementable algorithm that generates optimal solutions in polynomial time.
  • Keywords
    integer programming; linear programming; telecommunication network topology; video streaming; MVV streaming; energy-efficient delivery; energy-efficient functional resource allocation problem; immersive video centric services; integer linear programming formulation; media streams; multiview video streaming; network topology; personalized user experience; polynomial time; relative transport-processing energy efficiency; user view preferences; video processing functions; video transport; Computational complexity; Media; Network topology; Power demand; Streaming media; Topology; Wavelength division multiplexing; energy efficiency; immersive video service; integral polyhedron; multi-view video (MVV); polynomial time algorithm; totally unimodular;
  • 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.2012.6195536
  • Filename
    6195536