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Mobility-Enabled Edge Server Selection for Multi-User Composite Services

Author

Listed:
  • Wenming Zhang

    (School of Computer Science and Technology, Anhui University, Hefei 230601, China)

  • Yiwen Zhang

    (School of Computer Science and Technology, Anhui University, Hefei 230601, China)

  • Qilin Wu

    (School of Information Engineering, Chaohu University, Chaohu 238000, China)

  • Kai Peng

    (College of Engineering, Huaqiao University, Quanzhou 362021, China)

Abstract

In mobile edge computing, a set of edge servers is geographically deployed near the mobile users such that accessible computing capacities and services can be provided to users with low latency. Due to user’s mobility, one fundamental and critical problem in mobile edge computing is how to select edge servers for many mobile users so that the total waiting time is minimized. In this paper, we propose a multi-user waiting time computation model about composite services and show the resource contention of the edge server among mobile users. Then, we introduce a novel and optimal Multi-user Edge server Selection method based on Particle swarm optimization (MESP) in mobile edge computing, which selects edge servers for mobile uses in advance within polynomial time. Extensive simulations on a real-world data-trace show that the MESP algorithm can effectively reduce the total waiting time compared with traditional approaches.

Suggested Citation

  • Wenming Zhang & Yiwen Zhang & Qilin Wu & Kai Peng, 2019. "Mobility-Enabled Edge Server Selection for Multi-User Composite Services," Future Internet, MDPI, vol. 11(9), pages 1-17, August.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:9:p:184-:d:260824
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