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Streaming via SDN: Resource forecasting for video streaming..:
, In:
2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
,
Bukhari, Syed M. A. H.
;
Afaq, Muhammad
;
Song, Wang-Cheol
- p. 596-601 , 2023
Link:
https://doi.org/10.1109/ICUFN57995.2023.10200137
RT T1
2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
: T1
Streaming via SDN: Resource forecasting for video streaming in a Software-Defined Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10200137&Exemplar=1&LAN=DE A1 Bukhari, Syed M. A. H. A1 Afaq, Muhammad A1 Song, Wang-Cheol YR 2023 SN 2165-8536 K1 Measurement K1 Machine learning algorithms K1 Switches K1 Streaming media K1 Predictive models K1 User experience K1 Software defined networking K1 video traffic prediction K1 time series prediction K1 LSTM K1 XGBoost K1 SDN SP 596 OP 601 LK http://dx.doi.org/https://doi.org/10.1109/ICUFN57995.2023.10200137 DO https://doi.org/10.1109/ICUFN57995.2023.10200137 SF ELIB - SuUB Bremen
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