Safeguard network slicing in 5G: A learning augmented optimization approach

X Cheng, Y Wu, G Min, AY Zomaya… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Network slicing, as a key 5G enabling technology, is promising to support with more
flexibility, agility, and intelligence towards the provisioned services and infrastructure …

Artificial neural network and math behind it

H Pothina, KV Nagaraja - Smart Trends in Computing and …, 2022 - Springer
Article is structured in such a way that the reader could easily understand from the roots of
an artificial neuron to its applications in between gaining knowledge on how an artificial …

Reinforcing cloud environments via index policy for bursty workloads

V Balasubramanian, M Aloqaily… - NOMS 2020-2020 …, 2020 - ieeexplore.ieee.org
In recent years, the amounts of network traffic targeted towards cloud data centers have
fluctuated based on user requests. This traffic is bursty and requires a high degree of …

KDN-based fault-tolerant scheduling for VNFs in data centers

R Souza, M Santos, M Bonfim, K Dias… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network Functions Virtualization (NFV) aims to decouple network functionality from
dedicated physical devices, thereby allowing Virtual Machines (VMs) to host services such …

Enabling self-driving networks with machine learning

AS Jacobs - 2022 - lume.ufrgs.br
As modern networks grow in size and complexity, they also become increasingly prone to
human errors. This trend has driven both industry and academia to try to automate …

Enabling Self-Driving Networks with Machine Learning

AS Jacobs, RA Ferreira… - NOMS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
This work aims to enable self-driving networks by tackling the lack of trust that network
operators have in Machine Learning (ML) models. We assess and scrutinize the decision …

Constrained dynamic virtual network embedding

J He, M Hadji, D Zeghlache - 2023 IEEE 48th Conference on …, 2023 - ieeexplore.ieee.org
This paper focuses on a dynamic embedding of client-constrained heterogeneous Virtual
Network (VN) requests with multiple nodes and links affinity and anti-affinity requirements …

LSTM-Based VNF resource usage forecasting leveraging SFC resource attribute interdependencies

C St-Onge - 2023 - espace.etsmtl.ca
As of late, Network Function Virtualization (NFV) has emerged as a research topic garnering
a lot of interest, thanks to its many purported benefits to Next-Generation Network (NGN) …

Constrained dynamic virtual network embedding 1 st Junkai He

J He, M Hadji, D Zeghlache - IEEE LCN, 2023 - hal.science
This paper focuses on a dynamic embedding of client-constrained heterogeneous Virtual
Network (VN) requests with multiple nodes and links affinity and anti-affinity requirements …

[PDF][PDF] PREDICTION OF HOURLY NATURAL GAS CONSUMPTION USING TIME-DELAY NEURAL NETWORK

L Latinović, MSB Al Dhaheri - researchgate.net
Natural gas accounts for about 20% of total global energy consumption. Although there is a
significant global trend of switching to renewables, there are no indications that in the near …