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Forschungsdaten
Datenverarbeitung, Informatik
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Document type:
Forschungsdaten
Responsible:
Geyer, Fabien
Authors:
Geyer, Fabien; Bondorf, Steffen
Author affiliation:
TUM
Publisher:
TUM
Title:
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus
Identifier:
doi:10.14459/2019mp1524892
End date of data production:
24.11.2019
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Simulationen / simulations
Data type:
Datenbanken / data bases
Description:
Dataset used for the paper 'On the Robustness of Deep Learning-predicted Contention Models for Network Calculus'
Links:
https://arxiv.org/abs/1911.10522
Key words:
Dataset; Deep Learning; Network Calculus
Technical remarks:
View and download (5,04 GB total, 7 Files)
The data server also offers
downloads with FTP
The data server also offers downloads with rsync (password m1524892):
rsync rsync://m1524892@dataserv.ub.tum.de/m1524892/
Language:
en
BibTeX
Occurrences:
mediaTUM Gesamtbestand
Forschungsdaten
Datenverarbeitung, Informatik
mediaTUM Gesamtbestand
Einrichtungen
Schools
TUM School of Computation, Information and Technology
Departments
Computer Engineering
Informatik 8 - Lehrstuhl für Netzarchitekturen und Netzdienste (Prof. Carle)
2019