• DocumentCode
    3610071
  • Title

    Energy Delay Tradeoff in Cloud Offloading for Multi-Core Mobile Devices

  • Author

    Zhefeng Jiang ; Shiwen Mao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
  • Volume
    3
  • fYear
    2015
  • fDate
    7/7/1905 12:00:00 AM
  • Firstpage
    2306
  • Lastpage
    2316
  • Abstract
    Cloud offloading is considered a promising approach for both energy conservation and storage/computation enhancement for resource-limited mobile devices. In this paper, we present a Lyapunov optimization-based scheme for cloud offloading scheduling, as well as download scheduling for cloud execution output, for multiple applications running in a mobile device with a multi-core CPU. We derive an online algorithm and prove performance bounds for the proposed algorithm with respect to average power consumption and average queue length, which is indicative of delay, and reveal the fundamental tradeoff between the two optimization goals. The performance of the proposed online scheduling scheme is validated with trace-driven simulations.
  • Keywords
    Lyapunov methods; cloud computing; digital simulation; energy conservation; mobile computing; multiprocessing systems; optimisation; power aware computing; processor scheduling; Lyapunov optimization-based scheme; cloud execution output; cloud offloading; cloud offloading scheduling; download scheduling; energy conservation; energy delay tradeoff; multicore CPU; multicore mobile device; online scheduling scheme; resource limited mobile device; trace driven simulation; Cloud computing; Energy conservation; Energy efficiency; Job shop scheduling; Load management; Lyapunov optimization; Storage management; Cloud computing; Lyapunov optimization; energy efficiency; job scheduling; offloading;
  • fLanguage
    English
  • Journal_Title
    Access, IEEE
  • Publisher
    ieee
  • ISSN
    2169-3536
  • Type

    jour

  • DOI
    10.1109/ACCESS.2015.2499300
  • Filename
    7323792