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 …

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 …

Machine-Learning-Based Traffic Classification in Software-Defined Networks

RH Serag, MS Abdalzaher, HAEA Elsayed, M Sobh… - Electronics, 2024 - mdpi.com
Many research efforts have gone into upgrading antiquated communication network
infrastructures with better ones to support contemporary services and applications. Smart …

Intelligent performance prediction: the use case of a Hadoop cluster

D Uzunidis, P Karkazis, C Roussou, C Patrikakis… - Electronics, 2021 - mdpi.com
The optimum utilization of infrastructural resources is a highly desired yet cumbersome task
for service providers to achieve. This is because the optimal amount of such resources is a …

Comparison of machine learning techniques for VNF resource requirements prediction in NFV

M Moradi, M Ahmadi, R Nikbazm - Journal of Network and Systems …, 2022 - Springer
The network function virtualization (NFV) is a developing architecture that uses virtualization
technology to separate software from hardware. One of the most important challenges of …

Drive: Dynamic resource introspection and vnf embedding for 5g using machine learning

D Basu, S Kal, U Ghosh, R Datta - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The network slicing (NS) technique is comprehensively reshaping the next-generation
communication networks (eg, 5G and 6G). Software-defined networking (SDN) and network …

Distributed online service coordination using deep reinforcement learning

S Schneider, H Qarawlus, H Karl - 2021 IEEE 41st International …, 2021 - ieeexplore.ieee.org
Services often consist of multiple chained components such as microservices in a service
mesh, or machine learning functions in a pipeline. Providing these services requires online …

Managing virtualized networks and services with machine learning

R Boutaba, N Shahriar… - … Networks and Service …, 2021 - Wiley Online Library
Virtualization is instigating a paradigm shift in the networking industry, to keep up with
emerging application's quality of service requirements, massive growth in traffic volume, and …

[HTML][HTML] Performance characterization and profiling of chained CPU-bound Virtual Network Functions

S Troia, M Savi, G Nava, LMM Zorello, T Schneider… - Computer Networks, 2023 - Elsevier
The increased demand for high-quality Internet connectivity resulting from the growing
number of connected devices and advanced services has put significant strain on …

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 …