To estimate the algorithm, we do the emulation in the 14-nodes national science fund network ( NSFNET ). 为评价算法性能,在14节点的国家科学基金网(NSFNET)拓扑中进行了仿真。
In order to check our model, the long term traffic behavior of the CERNET backbone network and NSFNET backbone network are analyzed using the decomposed model, and the results are compared with ARIMA model. 使用分解模型分析CERNET主干网络和NSFNET主干网络的长期流量行为,并将分析结果同传统的ARIMA季节模型比较。
Simulations in NSFNet show that in sparse splitting network, when the number of multicast capable nodes is half of the number of total nodes, the resource optimization has been acceptable. 基于NSFNet网络的仿真证明组播能力节点只需占到全网节点数的一半就能达到很好的优化效果。