TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment

TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment. Riera, J., Batalle, J., Bonnet, J., Dias, M., McGrath, M., Petralia, G., Liberati, F., Giuseppi, A., Pietrabissa, A., Ceselli, A., Petrini, A., Trubian, M., Papadimitrou, P., Dietrich, D., Ramos, A., Melian, J., Xilouris, G., Kourtis, A., Kourtis, T., & Markakis, E. 2016.
doi abstract bibtex

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. © 2016 IEEE.

@CONFERENCE{Riera2016243,
author={Riera, J.F. and Batalle, J. and Bonnet, J. and Dias, M. and McGrath, M. and Petralia, G. and Liberati, F. and Giuseppi, A. and Pietrabissa, A. and Ceselli, A. and Petrini, A. and Trubian, M. and Papadimitrou, P. and Dietrich, D. and Ramos, A. and Melian, J. and Xilouris, G. and Kourtis, A. and Kourtis, T. and Markakis, E.K.},
title={TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment},
journal={IEEE NETSOFT 2016 - 2016 IEEE NetSoft Conference and Workshops: Software-Defined Infrastructure for Networks, Clouds, IoT and Services},
year={2016},
pages={243-250},
doi={10.1109/NETSOFT.2016.7502419},
art_number={7502419},
scopus={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84980041502&doi=10.1109%2fNETSOFT.2016.7502419&partnerID=40&md5=cb05d770b4ff3c242314c3319d0d3c72},
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. © 2016 IEEE.},
author_keywords={Management and Orchestration;  Network service;  Service Mapping;  Virtual network function},
keywords={Mapping;  Virtual reality, Acceptance ratio;  Evaluation results;  Functional architecture;  Mapping capabilities;  Network functions;  Network services;  Resource mapping;  Virtual networks, Transfer functions},
document_type={Conference Paper},
source={Scopus},
}

Downloads: 0