A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
Coordinated slicing and admission control using multi-agent deep reinforcement learning
5G Cloud Radio Access Networks (C-RANs) facilitate new forms of flexible resource
management as dynamic RAN function splitting and placement. Virtualized RAN functions …
management as dynamic RAN function splitting and placement. Virtualized RAN functions …
On the importance of resilience engineering for networked systems in a changing world
Resilience is featured increasingly often in the media, usually applied to society when faced,
for example, with disasters such as flooding and the enormous challenges that the Covid-19 …
for example, with disasters such as flooding and the enormous challenges that the Covid-19 …
NFVLearn: A multi‐resource, long short‐term memory‐based virtual network function resource usage prediction architecture
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 …
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 …
indispensable prerequisite for proactive resource provisioning and run-time management of …
Energy-Efficient Softwarized Networks: A Survey
I Setiawan, B Kar, SH Shen - arXiv preprint arXiv:2307.11301, 2023 - arxiv.org
With the dynamic demands and stringent requirements of various applications, networks
need to be high-performance, scalable, and adaptive to changes. Researchers and …
need to be high-performance, scalable, and adaptive to changes. Researchers and …
Machine Learning Heuristics in Cloud Computing: An In-Depth Analysis of VM Migration and Job Scheduling Strategies
GS Panesar, N Jain - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Cloud computing has ushered in a transformative era of scalable and flexible IT resource
management. Within this paradigm, virtual machine (VM) migration plays a pivotal role in …
management. Within this paradigm, virtual machine (VM) migration plays a pivotal role in …
Multivariate outlier filtering for A-NFVLearn: an advanced deep VNF resource usage forecasting technique
Abstract Virtual Network Function Resource Adaptation (VNF-RA) aims at adequately
adapting Network Function Virtualization Infrastructure (NFVI) resources according to the …
adapting Network Function Virtualization Infrastructure (NFVI) resources according to the …
An enhanced control solutions for efficient urban waste management using deep learning algorithms
This study focuses on developing an efficient urban waste management system using deep
learning algorithms and Internet of Things (IoT) technology. The goal is to improve waste …
learning algorithms and Internet of Things (IoT) technology. The goal is to improve waste …
5G RAN/MEC Slicing and Admission Control using Deep Reinforcement Learning
A Moayyedi - 2023 - uwspace.uwaterloo.ca
The 5G RAN functions can be virtualized and distributed across the radio unit (RU),
distributed unit (DU), and centralized unit (CU) to facilitate flexible resource management …
distributed unit (DU), and centralized unit (CU) to facilitate flexible resource management …