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Network Programming Promises
MARRIOTT PARIS RIVE GAUCHE HOTEL & CONFERENCE CENTER ★ PARIS ★ FRANCE


2020 AGENDA TECHNICAL TUTORIALS

  • Registration and welcome coffee from 07.30
  • Start of the First Tutorial 08.30
  • Exhibition open from 08.00 to 19.00
  • Seated Lunch: 12.30

MORNING SESSIONS


 
10.00
The Current State and Future of 5G Transport

Broadband Forum coordinates a deep dive workshop into the current state and future of 5G transport.

Areas covered include:
  • Update on the state of 5G transport technology and standards development work being down at Broadband Forum

  • Description of concurrent work in other organizations like IETF, IEEE, ITU, and others

  • Market drivers

  • Architecture considerations

  • Technologies

  • Use cases and examples

  • Network slicing

  • Fixed/mobile convergence
12.30
End of the BroadBand Forum Workshop



 
10.00
Network Transformation: Orchestration, Network and Service Management Framework

Describing how ETSI addresses the network transformation challenge being faced and what the core ETSI Technical Bodies are providing to the industry

  • Addressing the common framework for management of virtualized network environments as defined by NFV and extended to the distributed edge with public-cloud aspects by MEC.

  • Discussing how ENI solutions can be deployed within or across network domains to optimize the processing of data, extract knowledge, and thus enable decision making.

  • Demonstrating the work of ZSM in bringing all these and other technologies together into a single automated management framework.
12.30
End of the ETSI Workshop Part I
12.30
Seated Lunch

AFTERNOON SESSIONS


 
 
Update on the MEF flow and content during the course of the year. Presentation of the decks developed already and updated.
14.00
Developing and Implementing MEF 3.0 Services
MEF has defined SD-WAN, IP, Carrier Ethernet and Optical Transport services and their attributes as part of the MEF 3.0 framework launched in late 2017. This part of the workshop explains those services and how they are used to create end-to-end orchestrated managed service that span multiple operator and technology domains that include automation at the commercial, business and operational levels
 
LSO APIs: Enabling Service Automation Across Multiple Providers & Technology Domains
LSO (Lifecycle Service Orchestration) is a central part of the MEF 3.0 framework that complements SDN and NFV to enable the orchestration of the full lifecycle of MEF-defined services. This part of the workshop explains the underpinning LSO Reference Architecture (MEF 55), the LSO Reference Points (e.g. LSO Sonata and LSO Legato), and the APIs defined at each reference point as well as the SDKs available from MEF to accelerate MEF 3.0 adoption.
 
Certifying Services, Technology and Professionals
This part of the workshop covers the MEF Certification Program including MEF 3.0 certification of services and underlying technology for conformance to MEF standards including the 14 year program of Carrier Ethernet certification and the recently launched SD-WAN certification program. In addition, an overview is provided of MEF’s 8 year program for certification of professionals in the areas of SD-WAN, Carrier Ethernet and SDN/NFV.
 
Accelerating MEF 3.0 Development & Adoption Through Community Activities
In this final section of the workshop, the topics of the MEF 3.0 Proofs of Concept and their importance in accelerating the implementation of MEF 3.0 as well as the LSO Developer Community for software and IT professionals using and contributing to LSO APIs are covered.
17.00
End of the MEF Seminar



 
14.00
Highlights of the Newest OSM Release (OSM Rel SEVEN)

Series of live demonstrations on stage of the main functionalities of OSM, with particular focus on the newest functionalities added to the system, such as:
  • Cloud-native Network Functions, running on Kubernetes

  • Real-time monitoring of Network Services
Q&A
18.00
End of the ETSI Workshop


 
 
Tutorial presented by Orange Labs representants
14.00
ML/DL for Anomaly Detection on Network Data
The tutorial covers end to end machine learning including deep learning techniques applied to Network Data.

The goal is to share a methodology that sketches all the steps from raw data transformation and visualization to model generation and application including performance evaluation.
17.00
End of the Tutorial