A survey on machine learning techniques for routing optimization in SDN

R Amin, E Rojas, A Aqdus, S Ramzan… - IEEE …, 2021 - ieeexplore.ieee.org
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …

A survey on applications of unmanned aerial vehicles using machine learning

K Teixeira, G Miguel, HS Silva, F Madeiro - IEEE Access, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …

The pos framework: a methodology and toolchain for reproducible network experiments

S Gallenmüller, D Scholz, H Stubbe… - Proceedings of the 17th …, 2021 - dl.acm.org
In scientific research, the independent reproduction of experimental results is the source of
trust. The release of experimental artifacts enables the reproduction of results; however …

Self-learning multi-objective service coordination using deep reinforcement learning

S Schneider, R Khalili, A Manzoor… - … on Network and …, 2021 - ieeexplore.ieee.org
Modern services consist of interconnected components, eg, microservices in a service mesh
or machine learning functions in a pipeline. These services can scale and run across …

Benchmarking and profiling 5G verticals' applications: an industrial IoT use case

A Zafeiropoulos, E Fotopoulou… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
The Industry 4.0 sector is evolving in a tremendous pace by introducing a set of industrial
automation mechanisms tightly coupled with the exploitation of Internet of Things (IoT), 5G …

Machine learning for dynamic resource allocation in network function virtualization

S Schneider, NP Satheeschandran… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) proposes to replace physical middleboxes with more
flexible virtual network functions (VNFs). To dynamically adjust to ever-changing traffic …

SoftDrone: Softwarized 5G assisted drone networks for dynamic resource sharing using machine learning techniques

D Basu, S Kal, U Ghosh, R Datta - Computers and Electrical Engineering, 2022 - Elsevier
The concept of a programmable network instantiates dedicated network slices for
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …

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 …

Augmented Reality at Zoo Exhibits: A Design Framework for Enhancing the Zoo Experience

BV Syiem, S Webber, RM Kelly, Q Zhou… - Proceedings of the CHI …, 2024 - dl.acm.org
Augmented Reality (AR) offers unique opportunities for contributing to zoos' objectives of
public engagement and education about animal and conservation issues. However, the …

Revealing the evolution of a cloud provider through its network weather map

M Piraux, L Navarre, N Rybowski… - Proceedings of the …, 2022 - dl.acm.org
Researchers often face the lack of data on large operational networks to understand how
they are used, how they behave, and sometimes how they fail. This data is crucial to drive …