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.

本数据集旨在训练包含10至15个节点的吞吐量标签节点。图结构由SNR-BA [1]模型生成，节点均匀分布在北美尺度的网格上，节点间最小距离设定为100公里。吞吐量标签通过整数线性规划公式在零阻塞条件下最大化路由和波长分配，并通过高斯噪声模型计算物理层的损伤。