• DocumentCode
    3745159
  • Title

    Benchmarking leading-edge mobile devices for data-intensive distributed mobile cloud applications

  • Author

    Nayyab Zia Naqvi;Tim Vansteenkiste-Muylle;Yolande Berbers

  • Author_Institution
    iMinds-DistriNet, Department of Computer Science, KU Leuven, Belgium
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    50
  • Lastpage
    57
  • Abstract
    Mobile Cloud Computing (MCC) addresses the resource limitations of the mobile devices, but with a hidden cost depending on the requirements of the mobile applications. In this work, we investigate the proclaimed benefits of MCC for smart phones when thin clients are used to access remote cloud services, especially for applications that capitalize on the data generated from the mobile device. The added value of MCC can be hampered if the power of today´s leading-edge mobile technology is not estimated. The opportunistic use of cloud is inevitable for the maximum benefit of the devices. Our experiments show that many resource and performance trade-offs exist and the current deployment schemes for these kind of applications are rough around the edges. There is a need for an automated deployment decision support for mobile applications to exploit the benefits of the cloud as well as the power of today´s high-end mobile devices.
  • Keywords
    "Mobile handsets","Cloud computing","Mobile communication","Benchmark testing","Performance evaluation","Face","Face recognition"
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communication (ISCC), 2015 IEEE Symposium on
  • Type

    conf

  • DOI
    10.1109/ISCC.2015.7405493
  • Filename
    7405493