Proposal and Investigation of a Convolutional and LSTM Neural Network for the Cost-Aware Resource Prediction in Softwarized Networks

Proposal and Investigation of a Convolutional and LSTM Neural Network for the Cost-Aware Resource Prediction in Softwarized Networks

Resource prediction algorithms have been recently proposed in Network Function Virtualization architectures. A prediction-based resource allocation is characterized by higher operation costs due to: (i) Resource underestimate that leads to quality of service degradation; (ii) used cloud resource ove...

Full description

Bibliographic Details
Main Authors: Vincenzo Eramo, Francesco Valente, Tiziana Catena, Francesco Giacinto Lavacca
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Future Internet
Subjects:
Network Function Virtualization
computing resources
machine learning
long short term memory
convolutional network
Online Access:https://www.mdpi.com/1999-5903/13/12/316

Internet

https://www.mdpi.com/1999-5903/13/12/316

Similar Items