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

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