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Title:

o’zapft is: Tap Your Network Algorithm’s Big Data!

Responsible:
Kalmbach, Patrick
Authors:
Kalmbach, Patrick; Zerwas, Johannes; Manhart, Michael; Blenk, Andreas; Schmid, Stefan; Kellerer, Wolfgang
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2017md1361589
End date of data production:
03.03.2017
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Simulationen / simulations
Data type:
Tabellen / tables
Description:
This data set contains instances of optimization problems and their results. The optimization problems are Virtual Network Embedding and the Controller Placement Problem (an instance of Facility Location). The data was obtained using simulations for different setups. In case of VNE, the optimization algorithms as well as substrate and virtual network types are varied, for facility location the networks and number of facilities to place are varied. The placements are obtained using an Mixed Integ...     »
Method of data assessment:
Computer simulation
Links:
The dataset is related to the publication o’zapft is: Tap Your Network Algorithm’s Big Data! with DOI: https://doi.org/10.1145/3098593.3098597
Key words:
Virtual Network Embedding (VNE), Facility Location, Controller Placement, Machine Learning, Big Data, Communication Networks
Technical remarks:
View and download (550 MB, 5 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1361589):
rsync rsync://m1361589@dataserv.ub.tum.de/m1361589/
Language:
en
Rights:
by-sa, http://creativecommons.org/licenses/by-sa/4.0
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