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Title:

On the Robustness of Deep Learning-predicted Contention Models for Network Calculus

Document type:
Forschungsdaten
Responsible:
Geyer, Fabien
Authors:
Geyer, Fabien; Bondorf, Steffen
Author affiliation:
TUM
Publisher:
TUM
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)
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The data server also offers downloads with rsync (password m1524892):
rsync rsync://m1524892@dataserv.ub.tum.de/m1524892/
Language:
en
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