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Energy-Efficient Computation Offloading and Resource Allocation in Fog Computing for Internet of Everything

     

摘要

With the dawning of the Internet of Everything (IoE) era, more and more novel applications are being deployed. However, resource constrained devices cannot fulfill the resource-requirements of these applications. This paper investigates the computation off-loading problem of the coexistence and syner-gy between fog computing and cloud comput-ing in IoE by jointly optimizing the offloading decisions, the allocation of computation resource and transmit power. Specifically, we propose an energy-efficient computation offloading and resource allocation (ECORA) scheme to minimize the system cost. The sim-ulation results verify the proposed scheme can effectively decrease the system cost by up to 50% compared with the existing schemes, es-pecially for the scenario that the computation resource of fog computing is relatively small or the number of devices increases.

著录项

  • 来源
    《中国通信》|2019年第3期|32-41|共10页
  • 作者单位

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;

    Shenzhen Engineering Laboratory of Intelligent Information Processing for IoT, Southern University of Science and Technology, Shenzhen 518055, China;

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;

    School of Information Engineering, East China Jiaotong University, Nanchang 330013, China;

    Shenzhen Engineering Laboratory of Intelligent Information Processing for IoT, Southern University of Science and Technology, Shenzhen 518055, China;

    School of Information Engineering, East China Jiaotong University, Nanchang 330013, China;

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  • 正文语种 eng
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