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

Algorithms

Ke Zhou¹  Ming Zhao¹ 

[1] School of Software, Central South University, Tianxin District, Changsha 410075, China;

关键词: task offloading;    mobile edge computing (MEC);    ARIMA-BP;    energy efficient;   

DOI  :  10.3390/a12020048

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown