MLMD Dataset

The dataset is built upon a multi-layer multi-domain (MLMD) network topology of a real testbed. The topology includes an IP layer connected to an Optical Transport Network (OTN) layer and a Dense Wavelength Division Multiplexing (DWDM) layer through FlexEthernet (FlexE) links.  The dataset explores various traffic load and  FlexE physical link (PHY) failure scenarios, making it suitable for simulations and Machine Learning (ML) tasks involving network analysis such as routing optimization and traffic restoration. The dataset is partitioned into three separate subsets: a training set containing 12512 samples, a validation set comprising 2144 samples, and an evaluation set with an additional 1000 samples. Each sample is described by a feature matrix and a label vector. 本数据集基于真实测试床的多层多域（MLMD）网络拓扑构建。该拓扑中，IP层、光传送网（OTN）层与密集波分复用（DWDM）层通过灵活以太网（FlexE）链路实现互联。本数据集涵盖了多种流量负载与灵活以太网物理链路（PHY）故障场景，适用于路由优化、流量恢复等网络分析相关的仿真与机器学习（ML）任务。数据集被划分为三个独立子集：训练集包含12512个样本，验证集包含2144个样本，评估集额外包含1000个样本。每个样本均由特征矩阵与标签向量进行描述。

搜集汇总

背景与挑战

背景概述

MLMD Dataset是一个基于真实测试床多层多域网络拓扑的数据集，涵盖IP、OTN和DWDM层，通过FlexEthernet链接。该数据集包含不同流量负载和物理链接故障场景，适用于网络模拟和机器学习任务，如路由优化和流量恢复，样本划分为训练集、验证集和评估集，总计超过15000个样本。