基于SDN架构的高效分布式流量分载算法

摘要

针对移动数据流量分载问题,提出在SDN架构下综合考虑基站成本和接入点消耗的网络服务成本最小化问题模型.针对基于对偶分解的流量分载算法在收敛速度和隐私安全方面存在的缺陷,提出基于近似雅可比交替方向乘子法(ADMM,alternating direction method of multipliers)的流量分载算法,所设计的具体实施方案确保了隐私安全.同时,仿真实验表明基于近似雅可比ADMM的算法在收敛速度方面显著优于基于对偶分解的算法.%For addressing the problem of mobile data traffic offloading, network service cost minimization problem mod-el was proposed, which considered the cost of base stations and the consumption of access points under the SDN archi-tecture. Due to the defects of convergence speed and privacy security in the traffic offloading algorithm based on dual decomposition, the traffic offloading algorithm based on proximal Jacobian ADMM was proposed and an implementation scheme to ensure the privacy and security was designed. Meanwhile, the simulation results show that the algorithm based on the proximal Jacobian ADMM is superior to the dual decomposition algorithm in terms of convergence speed.