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asking for Dataset
by tjuzeyuluan 17 Feb '20

17 Feb '20

Dear Professor, I’m Zeyu, a PhD student from UC Berkeley. I am really interested in your work related in Graph Neural Networks -based routing optimization. I am trying to repeat your experiment. However, the download speed from the URL(path ='/home/datasets/SIGCOMM/nsfnetbw/tfrecords/train/') is so slow. Could you please transfer the zip package via the e-mail? Thank you very much! Another question is that what’s the difference between dataset v0 and dataset v1. I am a little confused. Could you please explain further? Thanks a lot! | | tjuzeyuluan | | tjuzeyuluan(a)163.com | 签名由网易邮箱大师定制

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Cannot download the dataset from NetworkModelingDatasets
by chenjiajun 07 Jan '20

07 Jan '20

Dear Professors and Researchers, My name is Jiajun Chen, and I am a graduate student at the Xiamen University, China. I am writing to enquire about the dataset "NetworkModelingDatasets" which could not be downloaded right now. And i am doing the searchers about improving the RouteNet model. At your convenience, would you please send me the dataset. It would be a great help for our works. Thank you for your attention to this matter. Sincerely, Jiajun Chen graduate student, Xiamen University

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How to download dataset.
by QUACH HONG NAM 30 Dec '19

30 Dec '19

Hello, I am Hong-Nam Quach from Chonnam National University, Korean. I am master student of Computer Science. I am into your project, I want to study about it. I try to download your dataset but I can not connect to your website that you provide. Please, show me how to download or provide for me another link to download Dataset. I’m looking your forward. Thank you so much! Best Regard, Hong-Nam Quach

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Code for Understanding the Modeling of Computer Network Delays using Neural Networks
by Nathan Sowatskey 13 Nov '19

13 Nov '19

Hi The reference 18 in "Understanding the Modeling of Computer Network Delays using Neural Networks" points to the KDN site as the location of the code use: http://knowledgedefinednetworking.org I think that the section being referred to is labelled “Neural Nets:”, but I would like to confirm that please. Many thanks Nathan

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Normalisation
by Nathan Sowatskey 11 Nov '19

11 Nov '19

Hi In the demo code, for example in: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/dem… A form of normalisation is applied: predictions = 0.54*preds + 0.37 This is consistent with the parse() function here: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/cod… if k == 'delay': features[k] = (features[k] - 0.37) / 0.54 if k == 'traffic': features[k] = (features[k] - 0.17) / 0.13 if k == 'link_capacity': features[k] = (features[k] - 25.0) / 40.0 There is another case here: https://github.com/knowledgedefinednetworking/network-modeling-GNN/blob/mas… if k == 'delay': features[k] = (tf.math.log(features[k]) + 1.78) / 0.93 if k == 'traffic': features[k] = (features[k] - 0.28) / 0.15 if k == 'jitter': features[k] = (features[k] - 1.5) / 1.5 if k == 'link_capacity': features[k] = (features[k] - 27.0) / 14.86 if k == 'queue_sizes': features[k] = (features[k] - 16.5) / 15.5 What is the basis for this normalisation and those specific constants please? Why does the normalisation in routenet_with_link_cap and routenet_with_forwarding_nodes differ? Many thanks Nathan

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RouteNet with forwarding nodes
by Nathan Sowatskey 05 Nov '19

05 Nov '19

Hi I would like to know more about https://github.com/knowledgedefinednetworking/network-modeling-GNN/blob/mas… if possible please. The reference points to Proceedings of the 2019 ACM CoNEXT 2019 Student Workshop, Orlando, USA, December 2019. I have had a look here: https://conferences2.sigcomm.org/co-next/2019/#!/accepted-papers But I don’t see the paper. I can’t find it with a Google search either. Is there any other source for the paper please? Many thanks Nathan

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GBN topology
by Nathan Sowatskey 30 Oct '19

30 Oct '19

Hi On this page: https://github.com/knowledgedefinednetworking/Unveiling-the-potential-of-GN… I have seen that there is this data set: http://knowledgedefinednetworking.org/data/GBN.zip It is described as having been used for evaluation, but I can’t find anything else that refers to it. Can anyone tell me more please? Many thanks Nathan

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Normalisation in the demo.ipynb incompatible with training code
by Nathan Sowatskey 09 Oct '19

09 Oct '19

Hi I have noted that the normalisation applied in the demo notebook here: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/dem… Does not apply the same normalisation as the code here: https://github.com/knowledgedefinednetworking/demo-routenet/blob/master/cod… Specifically, delay is not normalised in the demo notebook. The demo notebook loads a checkpoint from here: https://github.com/knowledgedefinednetworking/demo-routenet/tree/master/tra… <https://github.com/knowledgedefinednetworking/demo-routenet/tree/master/tra…> This model, then, was created without normalising the delay also. That implies that the code that was used to train that model is not the same code that is in the routenet_with_link_cap.py code at the link above. In simpler terms, the demo notebook prediction does not work if the delay is normalised as at routenet_with_link_cap.py#L85. So, the code for training given in this repository is not compatible with the demo notebook and the trained model used as an example. Regards Nathan

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Trained models
by Nathan Sowatskey 25 Sep '19

25 Sep '19

Hi This page: https://github.com/knowledgedefinednetworking/Unveiling-the-potential-of-GN… Has links for trained models from eight months ago. This page: https://github.com/knowledgedefinednetworking/demo-routenet/tree/master/tra… Has links for trained models from three months ago. Can anyone explain how these sets of trained model data are related please? Many thanks Nathan

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NSF net topology diagram compared to NED file
by Nathan Sowatskey 10 Sep '19

10 Sep '19

Hi The NSF net topology is, I think, represented in this diagram: https://github.com/knowledgedefinednetworking/NetworkModelingDatasets/blob/… The same network is also, I think, represented by the NED file in this compressed tar: http://knowledgedefinednetworking.org/data/datasets_v0/nsfnet.tar.gz That NED file is also here in my project: https://github.com/Data-Science-Projects/demo-routenet/blob/master/tests/un… In that NED file, I see these connections: node2.port[2] <--> Channel10kbps <--> node5.port[0]; node4.port[1] <--> Channel40kbps <--> node5.port[1]; node5.port[2] <--> Channel10kbps <--> node12.port[0]; node5.port[3] <--> Channel10kbps <--> node13.port[0]; In my (refactored from original code) I have these values for the connections at https://github.com/Data-Science-Projects/demo-routenet/blob/master/src/rout… [{0: 1, 1: 3, 2: 2}, {0: 0, 1: 2, 2: 7}, {0: 0, 1: 1, 2: 5}, {0: 0, 1: 4, 2: 8}, {0: 3, 1: 5, 2: 6}, {0: 2, 1: 4, 2: 12, 3: 13}, {0: 4, 1: 7}, {0: 1, 1: 6, 2: 10}, {0: 3, 1: 9, 2: 11}, {0: 8, 1: 10, 2: 12}, {0: 7, 1: 9, 2: 11, 3: 13}, {0: 8, 1: 10, 2: 12}, {0: 5, 1: 9, 2: 11}, {0: 5, 1: 10}] Node 5 is: {0: 2, 1: 4, 2: 12, 3: 13}, which means node 5 is connected to nodes 2, 4, 12 and 13. In the diagram, node 5 is connected to 2, 4, 12 and 8. Does anyone have any ideas as to where the discrepancy is coming from please? Many thanks Nathan

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