Power-Aware Virtual Machine Placement for Mobile Edge Computing
Yuxin Sun, Xianzhang Chen, Duo Liu, Yujuan Tan · 2019
The Mobile Edge Computing provides an attractive platform to bring data processing closer to its source in a networked environment. The responsibility of the MEC layer is effectively handling the jobs offloaded by edge devices located in the edge layer, and the jobs are served by virtual machines on the MEC servers. In this paper, we propose a power-efficient jobs placement approach for Mobile Edge Computing, which aims to minimize the number of required active MEC servers and reduce power consumption. The experimental results show that the proposed algorithm can significantly reduce the power consumption.