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Network Slicing Landscape: 
A holistic architectural approach, orchestration and management with applicability in mobile and fixed networks and clouds

Galis, A; Makhijani, K; (2018) Network Slicing Landscape: 
A holistic architectural approach, orchestration and management with applicability in mobile and fixed networks and clouds. [Lecture]. Presented at: IEEE Network Softwarization (NetSoft) 2018, Montreal, Canada. Green open access

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Abstract

Tutorial at IEEE NetSoft2018 - 29th June 2018 Montreal Abstract: A holistic architectural approach, orchestration and management with applicability in mobile and fixed networks and clouds Topics: Key Slicing concepts and history Slicing Key Characteristics & Usage scenarios & Value Chain Multi-Domain Network Function Virtualisation Review of Research projects and results in network and cloud slicing Open Source Orchestrators Standard Organization activities: NGMN, ITU-T, ONF, 3GPP, ETSI, BBF, IETF Industrial perspective on Network Slicing Review of industry Use Cases Network Slicing Challenges Concluding remarks of Network Slicing Acknowledgements & References

Type: Conference item (Lecture)
Title: Network Slicing Landscape: 
A holistic architectural approach, orchestration and management with applicability in mobile and fixed networks and clouds
Event: IEEE Network Softwarization (NetSoft) 2018
Location: Montreal, Canada
Dates: 25 - 29 June 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: http://netsoft2018.ieee-netsoft.org/
Language: English
Additional information: Tutorial at IEEE NetSoft 2018 - 29th June 2018 Montreal http://netsoft2018.ieee-netsoft.org/program/tutorials/
Keywords: Network Slicing Landscape
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10051374
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