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

Wenming Zhang, Yiwen Zhang, Qilin Wu and Kai Peng
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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

Future Internet, 2019, vol. 11, issue 9, 1-17

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.

Keywords: mobile edge computing; multi-user edge server selection; resource contention; total waiting time (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
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