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  • Design of Management Apps
    • Specifying the source data
    • Specifying the analytics, machine learning, and AI algorithms they want to use in their App
    • Specifying the policies that govern the App
    • Specifying the format, parameters, and mechanisms required to allow the App to autonomically adjust the network
    • Preparing and specifying use cases to demonstrate the applicability of Management Apps
  • Life cycle management of Management Apps
    • Deployment of Apps
      • Bringing the App itself and all its constituent components to life
      • Stitching the data links between the components in the App together
      • Initiating generation of the data that triggers the App to execute
    • Updating of Management Apps
      • Allowing the parameters, algorithms, policy, of controller configuration data to be modified on executing Apps
    • Deletion of Apps
    • Life cycle management is demonstrated using the use cases specified in the design phase
  • Monitoring and analysis of Management Apps
    • Specification of metrics for monitoring and analysis
    • Allowing general App data and data specific to particular Apps to be collected at run time
    • Storing of the monitored data
    • Running general App algorithms or algorithms for specific components of Apps on the monitored data to ensure that the Apps are running correctly and optimally
    • Feedback of App performance results to users
    • Allowing the autonomic Apps themselves to have autonomic self-healing.
    • Monitoring and analysis is demonstrated using the use cases developed in the project

5.2: MVP

  • Design Time Service support multiple control loops
  • Enable flow between design time and run time services
  • Enable instantiation of a control loop towards ONAP components

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