Mobile Computing, Applications, and Services. 10th EAI International Conference, MobiCASE 2019, Hangzhou, China, June 14–15, 2019, Proceedings

Research Article

Load-Aware Computation Offloading with Privacy Preservation for 5G Networks in Edge Computing

Download
8 downloads
  • @INPROCEEDINGS{10.1007/978-3-030-28468-8_13,
        author={Xiaolong Xu and Xihua Liu and Xuyun Zhang and Lianyong Qi and Yuan Yuan},
        title={Load-Aware Computation Offloading with Privacy Preservation for 5G Networks in Edge Computing},
        proceedings={Mobile Computing, Applications, and Services. 10th EAI International Conference, MobiCASE 2019, Hangzhou, China, June 14--15, 2019, Proceedings},
        proceedings_a={MOBICASE},
        year={2019},
        month={9},
        keywords={Mobile devices 5G Edge nodes Load balance Privacy conflicts},
        doi={10.1007/978-3-030-28468-8_13}
    }
    
  • Xiaolong Xu
    Xihua Liu
    Xuyun Zhang
    Lianyong Qi
    Yuan Yuan
    Year: 2019
    Load-Aware Computation Offloading with Privacy Preservation for 5G Networks in Edge Computing
    MOBICASE
    Springer
    DOI: 10.1007/978-3-030-28468-8_13
Xiaolong Xu,*, Xihua Liu,*, Xuyun Zhang1,*, Lianyong Qi2,*, Yuan Yuan3,*
  • 1: University of Auckland
  • 2: Qufu Normal University
  • 3: Michigan State University
*Contact email: njuxlxu@gmail.com, liuxihua710@gmail.com, xuyun.zhang@auckland.ac.nz, lianyongqi@gmail.com, yyuan@msu.edu

Abstract

Nowadays, with the advances in wireless communication, the mobile devices are becoming important due to various applications which provide mobile users with plentiful services in the devices. The mobile devices can hardly complete all the computing tasks as they have limitations on the battery capacity, physical size, etc. In order to release these limitations, in the fifth generation (5G), the computing tasks can be offloaded from the mobile devices to the central units (CUs) which are enhanced into edge nodes (ENs) for processing. However, it is still a problem to select the appropriate offloading destination, aiming to improve the load balance for all the ENs. In this paper, we first formulate an optimization problem to improve the load balance of all the ENs for 5G networks in edge computing, considering the time consumption and the privacy conflicts. Then, a load-aware computation offloading method with privacy preservation, named LCOP, is designed. Finally, experimental results and evaluations validate our proposed method is both effective and feasible.