Alpha Training Dataset

Training dataset for nodes between 10-15 nodes with throughput labels. The graphs are generated by the SNR-BA [1] model with nodes scattered uniformly over a grid the size of north america with mimum distances between nodes set to 100km. The throughput labels are generated by maximising the routing and wavelength assignment by a integer linear programming formulation at zero blocking and calculating the physical layer impairements via the gaussian noise model.

本数据集为节点规模介于10至15个、附带吞吐量标签的训练数据集。该数据集的图由SNR-BA模型[1]生成，节点在北美尺寸的网格上均匀分布，且节点间最小距离设置为100千米。其吞吐量标签通过以下方式生成：在零阻塞条件下，采用整数线性规划公式实现路由与波长分配的最大化，并通过高斯噪声模型计算物理层损伤。