• DocumentCode
    3725191
  • Title

    Hybrid process cost evaluation method in mobile code offloading

  • Author

    Pawan Kumar Thakur;Amandeep Verma

  • Author_Institution
    UIET, Panjab University, Chandigarh, India
  • fYear
    2015
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    Mobile cloud computing (MCC) permits mobile users to access the ample cloud computing resources. Mobile applications are pervasive and provide supplementary functionality on mobile devices, but these type of applications consume more battery of the mobile devices. Offloading the power hungry part of the application into the mobile cloud is one of the approach to prolong the battery lifetime of mobile devices. So it is important to implement the application partitioning/offloading by taking execution time and communication cost into consideration, so that better results can be obtained. The motive behind this paper is to explore different type of application partitioning algorithms. Firstly we implement the existing Branch and bound application partitioning algorithm (BBAP) and fetch the results. Then the proposed algorithm is implemented by adding CPU cycles to the existing system. Simulation results shows that by calculating CPU cycles the execution time and energy consumption of the processes can be reduced significantly.
  • Keywords
    "Mobile communication","Cloud computing","Simulation","Mathematical model","Partitioning algorithms","Computational modeling","Mobile applications"
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
  • Type

    conf

  • DOI
    10.1109/NGCT.2015.7375102
  • Filename
    7375102