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 …

Anomaly detection in cloud computing using knowledge graph embedding and machine learning mechanisms

K Mitropoulou, P Kokkinos, P Soumplis… - Journal of Grid …, 2024 - Springer
The orchestration of cloud computing infrastructures is challenging, considering the number,
heterogeneity and dynamicity of the involved resources, along with the highly distributed …

Extending OpenStack Monasca for Predictive Elasticity Control

G Lanciano, F Galli, T Cucinotta… - Big Data Mining and …, 2024 - ieeexplore.ieee.org
Traditional auto-scaling approaches are conceived as reactive automations, typically
triggered when predefined thresholds are breached by resource consumption metrics …

GCN-based multi-agent deep reinforcement learning for dynamic service function chain deployment in IoT

S Wang, H Cao, L Yang, S Garg… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The rapid development of technologies such as the Internet of Things, SDN/NFV, and 6G is
driving up the demand for dynamic deployment of service function chains (SFC). These …

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 …

Predictive resource allocation and VNF deployment using ensemble learning

S Dubba, S Gupta, BR Killi - Multimedia Tools and Applications, 2024 - Springer
Network function virtualization allows the implementation of network services on readily
available commercial off-the-shelf servers. A primary obstacle is efficiently, autonomously …

A graphical deep learning technique-based VNF dependencies for multi resource requirements prediction in virtualized environments

A Bellili, N Kara - Computing, 2024 - Springer
With recent developments in cloud computing, massive unplanned traffic loads are
submitted to cloud platforms. High traffic load variations lead to uncertainty in resource …

[PDF][PDF] An Adaptive Hybrid Optimization Strategy for Resource Allocation in Network Function Virtualization.

C Wen, D Zeng - CMES-Computer Modeling in Engineering & …, 2024 - cdn.techscience.cn
With the rapid development of Network Function Virtualization (NFV), the problem of low
resource utilization in traditional data centers is gradually being addressed. However …