An in-depth survey on virtualization technologies in 6g integrated terrestrial and non-terrestrial networks

S Ammar, CP Lau, B Shihada - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
6G networks are envisioned to deliver a large diversity of applications and meet stringent
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …

Autonomous intelligent VNF profiling for future intelligent network orchestration

N Ferdosian, S Moazzeni, P Jaisudthi… - … Machine Learning in …, 2023 - ieeexplore.ieee.org
In this article, we propose a profile-based data-driven analysis framework to extract and
analyze the characteristics and behavior of virtualized network functions (VNFs) in …

KSN: Modeling and simulation of knowledge using machine learning in NFV/SDN-based networks

R Nikbazm, M Ahmadi - Simulation Modelling Practice and Theory, 2022 - Elsevier
The rapid advancement of networking and computing technologies has led to the
emergence of a wide range of diverse dynamic network services that present networks with …

Value is king: the mecforge deep reinforcement learning solution for resource management in 5g and beyond

F Poltronieri, C Stefanelli, N Suri… - Journal of Network and …, 2022 - Springer
Multi-access edge computing (MEC) is a key enabler to fulfill the promises of a new
generation of immersive and low-latency services in 5G and Beyond networks. MEC …

Noisy neighbour impact assessment and prevention in virtualized mobile networks

F Muro, E Baena, S Fortes, L Nielsen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The generalization in the use of virtualization in the upcoming generation of cellular
networks involves new paradigms and approaches for their management. The correct …

Migration and Energy Aware Network Traffic Prediction Method Based on LSTM in NFV Environment.

Y Hu, L Zhu, J Zhang, Z Cai… - KSII Transactions on …, 2023 - search.ebscohost.com
The network function virtualization (NFV) uses virtualization technology to separate software
from hardware. One of the most important challenges of NFV is the resource management of …

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

C St‐Onge, N Kara, C Edstrom - Software: Practice and …, 2023 - Wiley Online Library
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 …

Graph Transformer and LSTM Attention for VNF Multi-Step Workload Prediction in SFC

Y Wu, J Liu, C Wang, X Xie, G Shi - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The knowledge on a Service Function Chain's (SFC's) resource requirements is an
indispensable prerequisite for proactive resource provisioning and run-time management of …

Predicting Mobility Management Demands of Cellular Networks based on User Behavior

LB Makai, P Varga - NOMS 2023-2023 IEEE/IFIP Network …, 2023 - ieeexplore.ieee.org
Mobile network operators continuously! aim to optimize network resources to satisfy user
demands and be energy efficient. In the era of network function virtualization, predicting the …

Optimal resource optimisation based on multi‐layer monitoring

D Uzunidis, P Karkazis, HC Leligou - IET Networks, 2023 - Wiley Online Library
The satisfaction of the Quality of Service (QoS) levels during an entire service life‐cycle is
one of the key targets for Service Providers (SP). To achieve this in an optimal way, it is …