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ML-based Performance Prediction of SDN using Simulated Data..:
, In:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
,
Dietz, Katharina
;
Gray, Nicholas
;
Seufert, Michael
. - p. 1-7 , 2022
Link:
https://doi.org/10.1109/NOMS54207.2022.9789916
RT T1
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
: T1
ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9789916&Exemplar=1&LAN=DE A1 Dietz, Katharina A1 Gray, Nicholas A1 Seufert, Michael A1 Hossfeld, Tobias YR 2022 SN 2374-9709 K1 Measurement K1 Scalability K1 Computer architecture K1 Traffic control K1 Predictive models K1 Feature extraction K1 Software K1 Software-defined Networking K1 Simulation K1 Performance Prediction K1 Machine Learning K1 Network Topology SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/NOMS54207.2022.9789916 DO https://doi.org/10.1109/NOMS54207.2022.9789916 SF ELIB - SuUB Bremen
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