Predicting vnf deployment decisions under dynamically changing network conditions

S Lange, HG Kim, SY Jeong, H Choi… - … on Network and …, 2019 - ieeexplore.ieee.org
In addition to providing network operators with benefits in terms of flexibility and cost
efficiency, softwarization paradigms like SDN and NFV are key enablers for the concept of …

Traffic-profile and machine learning based regional data center design and operation for 5G network

U Paul, J Liu, S Troia, O Falowo… - … of Communications and …, 2019 - ieeexplore.ieee.org
Data center in the fifth generation (5G) network will serve as a facilitator to move the wireless
communication industry from a proprietary hardware based approach to a more software …

Automated network service scaling in NFV: Concepts, mechanisms and scaling workflow

O Adamuz-Hinojosa, J Ordonez-Lucena… - IEEE …, 2018 - ieeexplore.ieee.org
Next-generation systems are anticipated to be digital platforms supporting innovative
services with rapidly changing traffic patterns. To cope with this dynamicity in a cost-efficient …

Estimating VNF resource requirements using machine learning techniques

H Jmila, MI Khedher, MA El Yacoubi - … 14-18, 2017, Proceedings, Part I 24, 2017 - Springer
Resource Management in the network function virtualization (NFV) environment is a
challenging task. The continuously varying demands of virtual network functions (VNF) call …

MLOps meets edge computing: an edge platform with embedded intelligence towards 6G systems

N Psaromanolakis, V Theodorou… - 2023 Joint European …, 2023 - ieeexplore.ieee.org
The evolution towards more human-centered 6G networks requires the extension of network
functionalities with advanced, pervasive automation features. In this direction, cloud-native …

High availability deployment of virtual network function forwarding graph in cloud computing environments

MA Abdelaal, GA Ebrahim, WR Anis - IEEE Access, 2021 - ieeexplore.ieee.org
Network Function Virtualization (NFV) stands out quickly as a promising innovation in
telecommunication networks. It leverages the concept of cloud technology and virtualization …

Machine learning-based prediction of VNF deployment decisions in dynamic networks

S Lange, HG Kim, SY Jeong, H Choi… - 2019 20th Asia …, 2019 - ieeexplore.ieee.org
In addition to providing network operators with benefits in terms of flexibility and cost
efficiency, softwarization paradigms like SDN and NFV are key enablers for the concept of …

[PDF][PDF] 5G 网络切片场景中基于预测的虚拟网络功能动态部署算法

唐伦, 周钰, 杨友超, 赵国繁, 陈前斌 - 电子与信息学报, 2019 - jeit.ac.cn
针对无线虚拟化网络在时间域上业务请求的动态变化和信息反馈时延导致虚拟资源分配的不
合理, 该文提出一种基于长短时记忆(LSTM) 网络的流量感知算法, 该算法通过服务功能链(SFC) …

Auto-3P: An autonomous VNF performance prediction & placement framework based on machine learning

M Bunyakitanon, AP Da Silva, X Vasilakos… - Computer Networks, 2020 - Elsevier
We propose Auto-3P, an Autonomous module for Virtual Network Functions Performance
Prediction and P lacement at network cloud and edge facilities based on Machine Learning …

A survey of VNF forwarding graph embedding in B5G/6G networks

B Zhang, Q Fan, X Zhang, Z Fu, S Wang, J Li, Q Xiong - Wireless Networks, 2021 - Springer
With the development of heterogeneous network structure, dynamic user requests as well as
complex service types and applications scenarios, current networks may not accommodate …