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Submission is open till .

The ONAP TSC will review the demo submissions and select up to three of their favorites. No specific guidelines on technical merit vs. ease of understanding, etc. are provided.

Teams or individuals wishing to submit their demo(s) for consideration must add their entry to the table below

Demo NameDemo DetailsDemo Materials

EXAMPLE - DO NOT REMOVE or edit this row 

Please copy this row and paste it to bottom of table if required

Name of Demo

Description :  A 1-paragraph description of the demo

Demo Team :  list anyone that worked on the demo using wiki "@" tags - Solo submissions are OK

Projects : which ONAP projects are highlighted  e.g.: DCAE, Policy, OOF

Demo Date : use // macro

Logistics : Location of demo, lab resources utilized, etc. as appropriate


Slides :  attach a PDF version slides, or a link to a PDF version of the slidesc

Recording :  attach a the recording of the demo, or a link to the recording - MUST CONTAIN THE DEMO NAME

Wiki Page: link to the ONAP WIKI page for the demo or project if relevant

A&AI UI Upgrades

Description :  The A&AI community delivered extensive updates to the A&AI UI in the Honolulu release. The ability to browse network elements, topology, and form complicated queries with many built in features was implemented. This demo is to showcase the new functionalities delivered as part of the Honolulu release.

Demo Team :  William Reehil Venkata Harish Kajur

Projects : A&AI

Demo Date :  

Logistics : Localhost demo (running from gerrit checked out repo on stubs)

Slides AAI-UI-ONAP-HONOLULU.pdf

Recording : TBD

Wiki Page: N/A

E2E Network Slicing use case Demo using ONAP

Description :  This demo was done to showcase E2E Network Slicing use case with ONAP internal RAN and TN NSSMFs and external CORE NSSMF developed in H-Release.

Key features :

The demo covered 3 critical scenarios:

  • Creation of a new E2E Network Slice with Core, RAN and TN Slices
  • Reuse of an existing E2E Network Slice, and
  • Closed Loop Automation based on PM data sent from the RAN Network Functions, for better allocation of RAN resources across different cells.

Highlights :

  • This complex use case involved 8 modules of ONAP and was contributed by 7 companies from different geographical locations across the world.
  • The RAN Simulator was enhanced to instantiate the RAN network functions, and used to demonstrate the complete flow from ONAP modules, as well as Closed Loop Automation.
  • This use case is aligned with the relevant standard bodies such as 3GPP, IETF, TMF and O-RAN.
  • The entire demo was executed live in WinLab with 80+ participants (virtually).

Demo Team :  LIN MENG , Swaminathan Seetharaman Saravanan Ayyadurai ,Ahila P  Henry Yu , Milind Jalwadi , Borislav Glozman , Chuyi Guo  krishna moorthy , Reshmasree c ,Deepika S ,LUKAI ,  Niranjana Y , Sanchita Pathak , Aleem Raja , Zhang Min, Sandeep Shah  Hanif Kukkalli , Hariharan Ramanathan , Sumithra S, Keguang He , Hesam Rahimi , user-14b30

Projects : SO, OOF, SDN-C, DCAE, SDC, Policy, UUI and AAI, Simulators

Demo Date :  

Logistics : The demo was given using the lab resources at WinLab, Rutgers University


Realization of an Intrusion Detection use-case in ONAP with Acumos

Description:  The goal of this demonstration was to show a successful deployment of an ML model as a DCAE service component(microservice) by taking advantage of the Acumos-ONAP federation. This implies that the ML model as a DCAE service component can access the DMaaP message router's APIs and successfully subscribe and publish to respective Kafka topics for reading test samples and publishing prediction output respectively. Based on this demonstration, the workshop paper - "Realization of an Intrusion Detection use-case in ONAP with Acumos" was presented at the 30th International Conference on Computer Communications and Networks (ICCCN 2021). 

Highlights:

The key features of this demo can be summarized as:

  • It highlights the feasibility and reduction of effort during the journey of an ML model from being a Python script to a DMaaP compatible microservice.
  • It describes the various involved components from Acumos and DCAE and the workflow or steps that can be followed for an automated conversion and deployment of any ML/AI model written in any of the Acumos supported languages and using corresponding ML tools/libraries into a DCAE service component.

Demo Team: Shabnam Sultana Vijay Venkatesh Kumar philippe.dooze@orange.com

Projects:  Acumos, DCAE, DMaaP

Demo Date:   

Logistics: This demo was accomplished using the Open SDN and NFV Lab(OSNL) at highstreet Technologies GmbH, Berlin.

Slides: Realization of an Intrusion Detection use-case in ONAP with Acumos.pdf

Recording:  Realization of an Intrusion Detection use-case in ONAP with Acumos.mp4

Wiki Page: N/A 




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