MLMD Dataset

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Submitted by:
dahina koulougli
Last updated:
Sun, 07/07/2024 - 17:39
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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. 

  • Comprehensive information about the dataset can be found in the README.txt file.
  • Detailed descriptions of the network topology are available in the mlmd_topo.txt file.
  • For an example of how to read the dataset, please refer to the script.
  • For any questions or issues regarding this dataset, please contact:
  • Name: Dahina Koulougli
  • Email:
  • Institution: Ecole de Technologie Superieure 


If you use this dataset in your research, please cite it as follows:

Dahina Koulougli, "MLMD Dataset", 2024, IEEE DataPort, DOI: []


Submitted by dahina koulougli on Sun, 07/07/2024 - 17:46