Dimensioning V2N Services in 5G Networks Through Forecast-Based Scaling

Autor: Jorge Martin-Perez, Koteswararao Kondepu, Danny De Vleeschauwer, Venkatarami Reddy, Carlos Guimaraes, Andrea Sgambelluri, Luca Valcarenghi, Chrysa Papagianni, Carlos J. Bernardos

Publikováno v: IEEE Access, Vol 10, Pp 9587-9602 (2022)

With the increasing adoption of intelligent transportation systems and the upcoming era of autonomous vehicles, vehicular services (such as remote driving, cooperative awareness, and hazard warning) will have to operate in an ever-changing and dynami

Externí odkaz: https://doaj.org/article/87b9f195dd814f9698073e2834414af8

DAEMON Deliverable 5.2: Report on evaluation results and initial proof-of-concept demonstrations

Autor: Marco Fiore, Brendan McAuliffe, Andra Lutu, Andres Garcia Saavedra, Antonio Bazco-Nogueras, Marco Gramaglia, Michail Kalntis, Evangelos Kosmatos, Inmaculada Ayala, Danny De Vleeschauwer, Michele Gucciardo, Alexandros Kostopoulos, Paola Soto, Nina Slamnik, Ioannis Chondroulis, Ioannis Belikaidis, Ginés García-Aviles

D5.2 is the second deliverable of DAEMON’s WP5, which builds on D5.1. Our goal within this WP is to focus on validation activities, performance evaluations and functional assessment tests of all the NI-solutions that we have been developing to date

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0ddd479e7cfed753fda50c09689b553

Self‐Managed 5G Networks 1

Autor: Josep Mangues-Bafalluy, Corrado Puligheddu, Jorge Martin-Perez, Andrea Sgambelluri, Koen A.E. De Schepper, Engin Zeydan, Carla-Fabiana Chiasserini, Luca Valcarenghi, Sokratis Barmpounakis, Panagiotis Kontopoulos, Francesco Paolucci, Xi Li, Nikolaos Koursioumpas, Carlos J. Bernardos, Andres Garcia-Saavedra, Ricardo Martinez, Carlos Guimaraes, Kiril Antevski, Lina Magoula, Jorge Baranda, Danny De Vleeschauwer, Claudio EttoreCasetti, Chrysa Papagianni

Publikováno v: Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

Meeting 5G high bandwidth rates, ultra‐low latencies, and high reliabilities requires of network infrastructures that automatically increase/decrease the resources based on their customers' demand.An autonomous and dynamic management of a 5G networ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b1825d8c1a77bde979b6d3cd52c8a5b4
https://doi.org/10.1002/9781119675525.ch4

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning

Autor: Paola Soto, Danny De Vleeschauwer, Miguel Camelo, Yorick De Bock, Koen De Schepper, Chia-Yu Chang, Peter Hellinckx, Juan F. Botero, Steven Latré

Publikováno v: 8th International Conference on Software Defined Systems (SDS), DEC 06-09, 2021, ELECTR NETWORK
2021 Eighth International Conference on Software Defined Systems (SDS)

Network Function Virtualization (NFV) is one of the main enablers behind the promised improvements in the Fifth Generation (5G) networking era. Thanks to this concept, Network Functions (NFs) are evolving into software components (e.g., Virtual Netwo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54161fff1c06da0fca6205661a51b8fe

A Machine Learning Approach for Service Function Chain Embedding in Cloud Datacenter Networks

Autor: Tom Jenno Wassing, Danny De Vleeschauwer, Chrysa Papagianni

Publikováno v: 2021 IEEE 10th International Conference on Cloud Networking (CloudNet 2021): virtual conference, 8-10 November 2021, 26-32
STARTPAGE=26;ENDPAGE=32;TITLE=2021 IEEE 10th International Conference on Cloud Networking (CloudNet 2021)

Network Functions Virtualization (NFV) is an industry effort to replace traditional hardware middleboxes with virtualized network functions (VNFs) running on general-build hardware platforms, enabling cost reduction, operational efficiency, and servi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3e6f6c9a9b64b7fab250e4b2ef9168a
https://zenodo.org/record/7965388