%0 Journal Article
%A 王少春 路兆铭 温向明 王鲁晗 马璐
%T Joint system consumption minimization and workload allocation in edge-core network
%D 2018
%R  10.19682/j.cnki.1005-8885.2018.0013
%J 中国邮电高校学报（英文）
%P 45-54
%V 25
%N 3
%X The explosive increase of smart devices and mobile traffic results in heavy burden on backhaul and core network, intolerable network latency and degraded service to the end-users. As a complement to core network, edge network contributes to relieving network burden and improving user experience. To investigate the problem of optimizing the total consumption in an edge-core network, the system consumption minimization problem is formulated considering the energy consumption and delay. Given that the formulated problem is a mixed nonlinear integer programming (MNIP), a low-complexity workload allocation algorithm is subsequently proposed based on interior-point method. The proposed algorithm has an extremely short running time in practice. Finally, simulation results show that edge network can significantly complement core network with much reduced backhaul energy consumption and delay.
%U https://jcupt.bupt.edu.cn/CN/ 10.19682/j.cnki.1005-8885.2018.0013