TY - GEN
T1 - SliceNet
T2 - end-to-end cognitive network slicing and slice management framework in virtualised multi-domain, multi-tenant 5G networks
AU - Wang, Qi
AU - Alcaraz-Calero, Jose
AU - Weiss, Maria Barros
AU - Gavras, Anastasius
AU - Neves, Pedro Miguel
AU - Cale, Rui
AU - Bernini, Giacomo
AU - Carrozzo, Gino
AU - Ciulli, Nicola
AU - Celozzi, Giuseppe
AU - Ciriaco, Angelo
AU - Levin, Ann
AU - Lorenz, Dean
AU - Barabash, Katherine
AU - Nikaein, Navid
AU - Spadaro, Salvatore
AU - Morris, Donal
AU - Chochliouros, Ioannis
AU - Agapiou, Yiorgos
AU - Patachia, Cristian
AU - Iordache, Marius
AU - Oproiu, Elena
AU - Lomba, Cipriano
AU - Aleixo, Ana Cristina
AU - Rodrigues, Alberto
AU - Hallissey, Ger
AU - Bozakov, Zdravko
AU - Koutsopoulos, Konstantinos
AU - Walsh, Paul
PY - 2018/8/16
Y1 - 2018/8/16
N2 - Network slicing has emerged as a major new networking paradigm for meeting the diverse requirements of various vertical businesses in virtualised and softwarised 5G networks. SliceNet is a project of the EU 5G Infrastructure Public Private Partnership (5G PPP) and focuses on network slicing as a cornerstone technology in 5G networks, and addresses the associated challenges in managing, controlling and orchestrating the new services for users especially vertical sectors, thereby maximising the potential of 5G infrastructures and their services by leveraging advanced software networking and cognitive network management. This paper presents the vision of the SliceNet project, highlighting the gaps in existing work and challenges, the proposed overall architecture, proposed technical approaches, and use cases.
AB - Network slicing has emerged as a major new networking paradigm for meeting the diverse requirements of various vertical businesses in virtualised and softwarised 5G networks. SliceNet is a project of the EU 5G Infrastructure Public Private Partnership (5G PPP) and focuses on network slicing as a cornerstone technology in 5G networks, and addresses the associated challenges in managing, controlling and orchestrating the new services for users especially vertical sectors, thereby maximising the potential of 5G infrastructures and their services by leveraging advanced software networking and cognitive network management. This paper presents the vision of the SliceNet project, highlighting the gaps in existing work and challenges, the proposed overall architecture, proposed technical approaches, and use cases.
KW - 5G
KW - network slicing
KW - slice management
KW - cognitive network management
KW - verticals
U2 - 10.1109/BMSB.2018.8436800
DO - 10.1109/BMSB.2018.8436800
M3 - Conference contribution
SN - 9781538647301
T3 - IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
BT - 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
PB - IEEE
CY - Piscataway, NJ
ER -