Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published September 21, 2018 | Version v1
Conference paper Open

Enabling Data Analytics and Machine Learning for 5G Services over SDN-Controlled Disaggregated Multi-Layer Transport Networks with Model-Driven Development

  • 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Description

SDN solutions for transport networks are often associated to single-vendor optical domains, managed as single entities, commonly referred to as fully aggregated. Controllers do export and expose interfaces for the limited control of abstracted resources and operations via north-bound interface (NBI) but such APIs are often vendor specific and internal control aspects related to provisioning, monitoring and resource management remain proprietary and not disclosed. Disaggregation of optical networks refers to a deployment model of optical systems, by composing and assembling open, available components, devices and sub-systems. This disaggregation is driven by multiple factor (the mismatch between the needs of operators and the ability to deliver adapted solutions by vendors or the increase in hardware commoditization) and disaggregated networks are an excellent use case for open and standard interfaces, showing the benefits of a unified, model-driven development.

Notes

Grant numbers : The work presented in this paper has been partially funded by Spanish MINECO DESTELLO (TEC2015-69256-R) project.

Files

Enabling Data Analytics and Machine Learning for 5G Services over.pdf

Files (316.2 kB)

Additional details

Funding

METRO-HAUL – METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency 761727
European Commission