Energy-Efficient Task Caching and Offloading Strategy in Mobile Edge Computing Systems

  • Qian ChenEmail author
  • Zhoubin Liu
  • Linna Ruan
  • Zixiang Wang
  • Sujie Shao
  • Feng Qi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 895)


As the limited processing power and energy of mobile terminals, the QoS of delay-sensitive service cannot be guaranteed. This paper proposes an SDN-based task caching and offloading strategy (SD-TCO) by mobile edge computing technology. The strategy mainly includes two algorithms: SDN-based mobile edge computing network (SD-MEN) task caching algorithm and branch-bounding algorithm based on greedy strategy. The SD-MEN task caching algorithm is used to increase the cache hit ratio by saving the frequently called task results on the edge server, and the branch-bounding algorithm based on greedy strategy is used to offload the task reasonably, which can ensure the QoS of users and minimize energy consumption. Simulation results show that SD-TCO has achieved effective improvement in stable delay and energy consumption.


Mobile Edge Computing SDN Greedy strategy Cache 



This work was supported by State Grid Technology Project ‘Edge Computing Research in Smart Grid Application and Security’ (Grant: 52110118001H, Contract No: 52110418001B).


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Qian Chen
    • 1
    Email author
  • Zhoubin Liu
    • 2
  • Linna Ruan
    • 1
  • Zixiang Wang
    • 2
  • Sujie Shao
    • 1
  • Feng Qi
    • 1
  1. 1.Beijing University of Posts and TelecommunicationsBeijingChina
  2. 2.State Grid Zhejiang Electric CompanyHangzhouChina

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