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]
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!
--
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