• DocumentCode
    1966882
  • Title

    Tradeoff between performance improvement and energy saving in mobile cloud offloading systems

  • Author

    Huaming Wu ; Qiushi Wang ; Wolter, Katinka

  • Author_Institution
    Dept. of Math. & Comput. Sci., Free Univ. of Berlin, Berlin, Germany
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    728
  • Lastpage
    732
  • Abstract
    Cloud computation offloading is a promising method that sending heavy computation to resourceful servers on cloud and then receiving the results from them. In this paper, we study the offloading techniques and further explore the tradeoff between shortening execution time and extending battery life of mobile devices. A novel adaptive offloading scheme is proposed and analyzed based on the tradeoff analysis. And it can be realized thanks to the elasticity of cloud computing that the resources can be bought on demand. We have tried to find a server on cloud with a critical value of speedup F for a specified mobile device. When satisfying the requirement such as performance improvement by the system, it is worth sacrificing large F when taking economic factor into consideration.
  • Keywords
    cloud computing; mobile computing; adaptive offloading scheme; battery life; cloud computation offloading; cloud computing; economic factor; energy saving; execution time; mobile cloud offloading systems; mobile devices; Bandwidth; Batteries; Cloud computing; Mobile communication; Mobile handsets; Performance evaluation; Servers; cloud computing; energy; offloading; time; tradeoff;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/ICCW.2013.6649329
  • Filename
    6649329