NFVLearn: A multi‐resource, long short‐term memory‐based virtual network function resource usage prediction architecture

Virtual resource load prediction in network function virtualization (NFV) is the subject of intense research due to its crucial role in enabling proactive resource adaptation in dynamic NFV environments whose resource demand constantly changes. Several long short‐term memory (LSTM)‐based approaches...

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Vydané v:	Software, practice & experience Ročník 53; číslo 3; s. 555 - 578
Hlavní autori:	St‐Onge, Cédric, Kara, Nadjia, Edstrom, Claes
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bognor Regis Wiley Subscription Services, Inc 01.03.2023
Predmet:	Accuracy Correlation coefficients GNN Graph neural networks input feature selection Load Load history LSTM network function virtualization resource usage prediction Virtual memory systems Virtual networks
ISSN:	0038-0644, 1097-024X
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