Network Functions Visualization is focused on migrating traditional hardware-based network functions to software-based appliances running on standard high volume severs. There are a variety of challenges facing early adopters of Network Function Virtualizations; key among them are resource and service mapping, to support virtual network function orchestration. Service providers need efficient and effective mapping capabilities to optimally deploy network services. This paper describes TeNOR, a micro-service based network function virtualisation orchestrator capable of effectively addressing resource and network service mapping. The functional architecture and data models of TeNOR are described, as well as two proposed approaches to address the resource mapping problem. Key evaluation results are discussed and an assessment of the mapping approaches is performed in terms of the service acceptance ratio and scalability of the proposed approaches.
TeNOR: steps towards an orchestration platform for multi-PoP NFV deployment / J.F. Riera, J. Batalle, J. Bonnet, M. Dias, M. Mcgrath, G. Petralia, F. Liberati, A. Giuseppi, A. Pietrabissa, A. Ceselli, A. Petrini, M. Trubian, P. Papadimitrou, D. Dietrich, A. Ramos, J. Melian, G. Xilouris, A. Kourtis, T. Kourtis, E.K. Markakis - In: NetSoft Conference and Workshops (NetSoft), 2016 IEEE[s.l] : IEEE, 2016. - ISBN 9781467394864. - pp. 243-250 (( Intervento presentato al 2. convegno IEEE International Conference on Network Softwarization (IEEE NetSoft) tenutosi a Seoul nel 2016 [10.1109/NETSOFT.2016.7502419].
TeNOR: steps towards an orchestration platform for multi-PoP NFV deployment
A. Ceselli;M. Trubian;
2016
Abstract
Network Functions Visualization is focused on migrating traditional hardware-based network functions to software-based appliances running on standard high volume severs. There are a variety of challenges facing early adopters of Network Function Virtualizations; key among them are resource and service mapping, to support virtual network function orchestration. Service providers need efficient and effective mapping capabilities to optimally deploy network services. This paper describes TeNOR, a micro-service based network function virtualisation orchestrator capable of effectively addressing resource and network service mapping. The functional architecture and data models of TeNOR are described, as well as two proposed approaches to address the resource mapping problem. Key evaluation results are discussed and an assessment of the mapping approaches is performed in terms of the service acceptance ratio and scalability of the proposed approaches.File | Dimensione | Formato | |
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