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( by Vijay Venkatesh Kumar, Wen Shang, Ashoke Sharma, Shrikant Acharya, Diana Zhang)

<<place holder for documenting the design to facilitate the  OTI feature addition in DCAE>>

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Summary

Network Topology can evolve over time, so there is a need for platforms to be able to receive these updates and take appropriate actions. From a DCAE standpoint, as new xNF gets instantiated, DCAE MS may need to be reconfigured to poll data from new sources. A new DCAE platform components – ONAP Topology Interface (OTI) will listen on external topology updates and determine MS to be reconfigured/instantiated and trigger updates via other DCAE platform components.


Table of Contents

High Level Architecture

OTI Architecture

OTI Data Flow via API (Use Case 1) - consist of two components: OTI-event-proc microservice and OTI-handler microservice.  This option not only can be used for real-time data collection, but also can support load balancing, auto scaling within the Kubernetes Cluster and Geo resiliency cross the regions (future release).  

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  • MS must periodically look for files published under /otidata/process directory every 30 seconds (configurable) for the incoming OTI event update from sidecar.  MS updates the Task.json/OTI_config.json based the event and does the collection based on Task.json.
  • MS should select statefulset (sidecar) checkbox property during onboarding (to indicate to platform it will be deployed as stateful set/OTI solution).
  • MS is updated to call CBS API to retrieve the KV_Config in K8s.






 



Option Use Case 2 - DCAE MS (e.g. snmp-polling) shall subscribe 'dcae-collection-event' via DMaaP-MR and use the provided information ( vnf/pnf name, collection ip, collection tasks etc) for data collection.  DCAE MS shall publish the output data into DMaaP-MR.

Targeted Usecase (Frankfurt)

UC1a, UC1b and  UC2a (question) are targeted Use cases for Frankfurt.

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