13 Oct
2020
13 Oct
'20
8:47 a.m.
Dear Nandana,
Thanks to contacting us.
Each compressed file of the dataset contains 500 samples corresponding
to one topology, one routing and one traffic matrix. For each of these
samples ( a line of the simulationResults.txt) we provide the 10
attributes described in the GitHub repository for each of the path of
the topology. For instance, the nsfnet topology which have 14 nodes, has
14*14 attributes = 1960 columns. Despite no traffic is generated between
one node to itself, the parameters are included in the sample. The
README provide information in how to access each attribute of the path.
Notice that we have an API to provide users with a simple and intuitive
way to access the information contained in the associated datasets. Each
dataset has associated an API which is linked at the beginning of the
description of the dataset in the github repository. For dataset v0, you
can found the API [here
<https://github.com/knowledgedefinednetworking/datanetAPI/tree/dataset_v0>]
Best regards
Albert López
On 10/10/20 13:26, Nandana Tiwari wrote:
Hello
Hope you're doing well.
I recently found the Knowledge Defined networking repository of
datasets and I'm very interested in using them to conduct link fault
recovery research in SDN. I understand that the v0 datasets have 500
rows and I have come across the GitHub repository that explains the
datasets however it has not clearly mentioned what all attributes are
captured. From the repository, I could only find 11 attributes and the
dataset has about 1961 columns. If you could please help provide me
with information as to what these columns are, I would find it
extremely helpful.
Thank you so much!
--
Kind regards
Nandana
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