IGP/MPLS混合的IP网络不确定流量规划方法

随着IP网络的迅速发展,网络的业务量越来越呈不确定性和不可预测性。针对此问题,提出了以软管模型为基础的不确定业务量模型下的IGP/MPLS混合IP流量规划问题的混合整数规划(MIP)模型,并将该模型分解成权重设计子问题和流量分配子问题进行求解。实验结果表明,该方法能在标签交换路径(LSP)较少的情况下达到较理想的优化效果。

IGP/MPLS hybrid IP traffic planning method under uncertain traffic matrices

With the rapid development of IP networks, network traffic becomes increasingly uncertain and unpredictable. In order to resolve this problem, this paper presented a Mixed Integer Programming (MIP) model for IGP/MPLS hybrid IP traffic planning problem under uncertain traffic matrices based on Hose model. Then, the MIP model was decomposed into two sub-problems of weight design and traffic distribution, so that it could be solved effectively. The experimental results demonstrate that the proposed method can obtain a better optimization performance with only a few established Label Switching Paths (LSPs).