10.5281/zenodo.833149
https://zenodo.org/records/833149
oai:zenodo.org:833149
Casellas, Ramon
Ramon
Casellas
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Vilalta, Ricard
Ricard
Vilalta
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Mayoral, Arturo
Arturo
Mayoral
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Martínez, Ricardo
Ricardo
Martínez
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Muñoz, Raül
Raül
Muñoz
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Contreras, Luis M.
Luis M.
Contreras
Telefónica Global CTO Unit
Control Plane Architectures Enabling Transport Network Adaptive and Autonomic Operation
Zenodo
2017
SDN/NFV Control of Optical Networks
Active Stateful PCE
Front-end/Back-end architectures
In operation network planning
On-demand control functions
Service Function placement
2017-07-02
10.5281/zenodo.833148
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
The maturity and flexibility of Software Defined Networking principles, favouring centralized control deployments, featured application programming interfaces and the development of a related application ecosystem, has paved the way for the design and implementation of advanced and adapted control plane architectures that specially target and enable efficient and massive monitoring and data collection. In this line, the steady increase in the use of open and standard interfaces and data modelling languages, as well as the wide adoption (in a vendor independent way) of model-driven solutions and a unified approach for data collection and processing facilitates shifting the focus to the actual processing of information, towards autonomic networks and self-* capabilities. Scoped to the control of a flexi-grid optical transport network, and in line with major industry trends, in this paper we cover our requirements for efficient data collection and processing, and we propose and detail a control and management architecture, building on the concepts of front-end and back-end entities, dynamic instantiation of control plane functions within the ETSI NFV framework and the applicability to use cases such as in-operation network planning, on-demand network optimization and parameter tuning.
Grant numbers : DESTELLO (TEC2015-69256-R) and Metro-Haul. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
European Commission
10.13039/501100000780
761727
METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency
European Commission
10.13039/501100000780
671598
5G-Crosshaul: The 5G Integrated fronthaul/backhaul