Benutzer: Gast  Login
Titel:

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

Verantwortlich:
Kalmbach, Patrick
Autorinnen / Autoren:
Kalmbach, Patrick; Zerwas, Johannes; Manhart, Michael; Blenk, Andreas; Schmid, Stefan; Kellerer, Wolfgang
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Identifikator:
doi:10.14459/2017md1361589
Enddatum der Datenerzeugung:
03.03.2017
Fachgebiet:
DAT Datenverarbeitung, Informatik
Quellen der Daten:
Simulationen / simulations
Datentyp:
Tabellen / tables
Methode der Datenerhebung:
Computer simulation
Beschreibung:
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...     »
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
Schlagworte:
Virtual Network Embedding (VNE), Facility Location, Controller Placement, Machine Learning, Big Data, Communication Networks
Technische Hinweise:
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/
Sprache:
en
Rechte:
by-sa, http://creativecommons.org/licenses/by-sa/4.0
 BibTeX