%0 Journal Article
%A LI Chao
%A LIU Ming
%A LU Zhao-ming
%A MA Huan
%A MA Lu
%T A Cloud-Edge Collaborative Computing Task Scheduling Algorithm for 6G Edge Networks
%D 2020
%R 10.13190/j.jbupt.2020-161
%J Journal of Beijing University of Posts and Telecommunications
%P 66-73
%V 43
%N 6
%X A distributed cloud-edge collaborative computing architecture for the sixth generation of mobile communications system (6G) is proposed. Furthermore, a cloud-edge collaborative computing task scheduling algorithm based on the Proximal Jacobian alternating direction multiplier method (ADMM) is designed. This algorithm models the computing task scheduling in cloud-edge collaboration architecture as a system costs minimization problem considering the system delay, energy consumption, bandwidth costs, and quality of service (QoS) loss etc. Then the algorithm is solved through an efficient distributed parallel computing method. The simulation results show that the proposed algorithm can reduce network operating costs while ensuring QoS, and achieve high execution efficiency and fast convergence.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2020-161