Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks

Selective Offloading by Exploiting ARIMA-BP for Energy Optimization in Mobile Edge Computing Networks
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利用 ARIMA-BP 进行选择性卸载以实现移动边缘计算网络中的能源优化

DOI:
10.3390/a12020048
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发表时间:
2019-02
期刊:
影响因子:
2.3
通讯作者:
Ke Zhou
Ke Zhou
中科院分区:
--
文献类型:
--
作者:
Ming Zhao;Ke Zhou

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Mobile Edge Computing (MEC) is an innovative technique, which can provide cloud-computing near mobile devices on the edge of networks. Based on the MEC architecture, this paper proposes an ARIMA-BP-based Selective Offloading (ABSO) strategy, which minimizes the energy consumption of mobile devices while meeting the delay requirements. In ABSO, we exploit an ARIMA-BP model for estimating computation capacity of the edge cloud, and then design a Selective Offloading Algorithm for obtaining offloading strategy. Simulation results reveal that the ABSO can apparently decrease the energy consumption of mobile devices in comparison with other offloading methods.
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