Multi-scenario network performance dataset

We utilized GenNP to generate a network performance simulation dataset comprising 10,000 samples. This dataset encompasses two scenarios: normal operation and fault conditions. To simulate diverse scenarios, we randomly sampled feasible values of configuration parameters. Detailed information about the configuration parameters of the network performance simulation dataset can be found at http://ssrn.com/abstract=4968394 or https://doi.org/10.1016/j.comnet.2025.111209. It is worth noting that, given the large number of controllable variables, the scope of potential scenarios is very broad. Therefore, to ensure comprehensive spatial coverage within this dataset, the time granularity for sampling network performance outputs was uniformly set to one-second intervals.本研究采用GenNP生成了包含10000条样本的网络性能仿真数据集。该数据集涵盖两种运行场景：正常工况与故障工况。为模拟多样化的应用场景，我们对配置参数的可行取值进行了随机采样。有关该网络性能仿真数据集配置参数的详细信息，可访问http://ssrn.com/abstract=4968394或https://doi.org/10.1016/j.comnet.2025.111209查阅。值得注意的是，由于可控变量数量较多，潜在场景的覆盖范围极为广泛。因此，为确保本数据集实现全面的参数空间覆盖，我们将网络性能输出的采样时间粒度统一设置为1秒间隔。