Survey on machine learning for traffic-driven service provisioning in optical networks

T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

The role of natural resources in the management of environmental sustainability: Machine learning approach

A Rao, A Talan, S Abbas, D Dev, F Taghizadeh-Hesary - Resources Policy, 2023 - Elsevier
This study examines the ability of Asia's natural resources to manage environmental
sustainability through digitalization. We analyse 19 Asian nations from 1990 to 2020. In …

Link load prediction in an optical network with restoration mechanisms

A Knapińska, R Goścień, P Lechowicz… - Journal of Optical …, 2023 - opg.optica.org
Knowledge about the future link load is an essential issue for optical network operators,
especially in the case of network failure and the restoration of affected traffic. In this paper …

Short-Term Network Traffic Prediction with Multilayer Perceptron

A Ganowicz, B Starosta, A Knapińska… - 2022 6th SLAAI …, 2022 - ieeexplore.ieee.org
The constantly increasing internet traffic and rising network requirements trigger fast
development and implementation of new networking architectures and technologies …

Data-driven model for sliced 5G network dimensioning and planning, featured with forecast and" what-if" analysis

D Dulas, J Witulska, A Wyłomańska, I Jabłoński… - IEEE …, 2024 - ieeexplore.ieee.org
Network Slicing is an enabler for new use cases and an improved network performance,
especially for 5G private networks, which opens new business opportunities for vendors and …

Combining Random Forest and Linear Regression to Improve Network Traffic Prediction

B Ułanowicz, D Dopart, A Knapińska… - 2023 23rd …, 2023 - ieeexplore.ieee.org
The constant increase in traffic volume triggers the development of new network optimization
methods. Machine learning techniques are one of the promising research directions, as they …

[PDF][PDF] Long-term Traffic Forecasting in Optical Networks Using Machine Learning

K Walkowiak, D Szostak, A Włodarczyk… - International Journal of …, 2023 - journals.pan.pl
Knowledge about future traffic in backbone optical networks may greatly improve a range of
tasks that Communications Service Providers (CSPs) have to face. This work proposes a …