• DocumentCode
    628229
  • Title

    Model-based performance analysis of local re-execution scheme in offloading system

  • Author

    Qiushi Wang ; Huaming Wu ; Wolter, Katinka

  • Author_Institution
    Dept. of Math. & Comput. Sci., Freie Univ. Berlin, Berlin, Germany
  • fYear
    2013
  • fDate
    24-27 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Offloading is a useful approach to save energy and time for mobile devices by migrating heavy computation to remote powerful servers. However, the unreliable wireless network constrains the implementation of offloading applications. The execution continuity is always interrupted by network failures. To deal with this problem, locally re-executing the pre-determined offloading task in the mobile device is a valid method. Challenges arise due to the best trade-off between costs and benefits of Local Re-execution. In this paper, using a Stochastic Activity Network model, we defined three metrics to investigate the performance of Local Re-execution, which is launched by different timeout values. Through comprehensively comparing the simulation results, we further explored the optimal timeout value for activating Local Re-execution, and reached the conclusion that the optimum is mainly controlled by the delay of network recovery.
  • Keywords
    mobile computing; performance evaluation; power aware computing; stochastic processes; execution continuity; local re-execution scheme; mobile devices; model-based performance analysis; network failures; network recovery; offloading system; optimal timeout value; predetermined offloading task; stochastic activity network model; Computational modeling; Data communication; Energy consumption; Measurement; Mobile handsets; Servers; Wireless networks; Modeling; Offloading; Stochastic Activity Network; performance analysis; timeout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems and Networks (DSN), 2013 43rd Annual IEEE/IFIP International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1530-0889
  • Print_ISBN
    978-1-4673-6471-3
  • Type

    conf

  • DOI
    10.1109/DSN.2013.6575325
  • Filename
    6575325