A Deep Neural Network-Based Multi-Label Classifier for SLA Violation Prediction in a Latency Sensitive NFV Application

A Deep Neural Network-Based Multi-Label Classifier for SLA Violation Prediction in a Latency Sensitive NFV Application

Recent advancements in the domain of Network Function Virtualization (NFV), and rollout of next-generation networks have necessitated the requirement for the upkeep of latency-critical application architectures in future networks and communications. While Cloud service providers recognize the evolvi...

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Detalles Bibliográficos
Autores principales: Nikita Jalodia, Mohit Taneja, Alan Davy
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Network function virtualization
machine learning
deep learning
neural networks
classification algorithms
multi-label classification
Telecommunication
TK5101-6720
Transportation and communications
HE1-9990
Acceso en línea:https://doaj.org/article/83f6a8b3ab3e49cf91ea2c84b8358bfe
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https://doaj.org/article/83f6a8b3ab3e49cf91ea2c84b8358bfe

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