Content Comparison

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ONAP-based Analytics as a Service Details:

• What does ONAP-based Analytics Service encompass?
  • Support analytics-as-a-service in the cloud-regions that have K8S site orchestrator.
  • Use same analytics framework to have analytics even in ONAP-Central.
  • Two packages - Standard package and inferencing package.
  • Use existing analytics applications - TCA to prove this framework.
  • As a stretch - Showcase one ML based applications
    • Training application
    • Inferencing application

• How to Develop?
  • Use PNDA as a base
  • Create/adapt Helm charts
  • Ensure that no HEAT based deployment is necessary.
  • Use components that are needed for normal analytics as well ML based analytics (Apache Spark latest stable release, HDFS, OpenTSDB, Kafka, Avro schema etc..)
  • Use some PNDA  specific packages - Deployment manager as one example.
  • Develop new software components
    • that allow distribution of analytics applications to various analytics instances
    • that allow onboarding new analytics applications and models.
    • that integrates with CLAMP framework (if needed)

• Impacted ComponentsONAP Projects
  • DCAE, CLAMP, A&AI (TBD), Multi-VIM/Cloud (TBD)
• How to Test?
  

  • TCA (Changes - Convert this as a spark application) 

  • New Machine learning models for KPI (packet loss) prediction (New use case)

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