TMEstimation

The file contains the raw data, the processed data, and the code for both datasets. The data for all the moments of both the Abilene and G'EANT networks were eventually saved as two CSV files, with rows indicating the number of links and columns indicating the number of moments (each moment is a separate source file). The code files for processing both datasets are also included. The file also gives the network topology diagram for both the datasets. Abilene backbone network has 12 router nodes, 30 internal links and 24 external links, and 144 OD flows. The two external links of each router node are treated as a single link to itself. G'EANT network has 23 router nodes, 74 links, and 529 OD flows.本文件包含原始数据集、处理后数据集，以及用于处理两类数据集的代码。Abilene与G'EANT网络各时刻的数据集最终被保存为两份CSV文件，其中行代表链路数量，列代表时刻数量（每个时刻对应一个独立源文件）。本文件同时附带了用于处理这两类数据集的代码文件，以及两类数据集对应的网络拓扑图。Abilene骨干网络包含12个路由器节点、30条内部链路与24条外部链路，共计144个OD（Origin-Destination，起讫点）流，每个路由器节点的两条外部链路被合并为一条指向自身的链路。G'EANT网络则包含23个路由器节点、74条链路与529个OD流。

搜集汇总

背景与挑战

背景概述

TMEstimation是一个网络流量估计数据集，包含Abilene和G'EANT两个网络的原始数据、处理后的CSV文件以及处理代码，用于机器学习应用。数据集提供了详细的网络拓扑结构，其中Abilene网络有12个节点和144个OD流，G'EANT网络有23个节点和529个OD流，支持网络流量分析和建模研究。