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  • User clicks "Commit" button to deploy the project on NDS Labs cloud resources (e.g. SCSC Cloud, TACC Rodeo, NCSA Nebula).  The user does not need to specify which resources as this will be assigned automatically based on automatically determined requirements (e.g. needed computation, storage, proximity to data, etc...)
  • A status page is returned providing a list of the instanciated services, virtual machines, their status (start time/running/idle), details (e.g. cores, memory), and URL's to the stood up services (e.g. Clowder)
  • User can now go to/share Clowder URL and use/experiment with the service

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XSEDE ECS: Video Analytics Toolbox Example

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  • User creates a new project and names it "TERRA Deployment"
  • User drags clowder service to project canvas
  • User drags mongodb to canvas as database backend for Clowder
  • User drags elasticsearch to canvas as means of indexing text data for Clowder
  • User drags rabbitmq as the distributed messaging bus used by Clowder to trigger extraction services
  • User drags plantcv extractor to canvas as extraction service that will be available for uploaded files/datasets
  • User drags jupyter lab notebook to canvas as means of working with data stored in Clowder
  • User drags a connection between mongodb and clowder
  • User drags a connection between elasticsearch and clowder
  • User drags a connection between rabbitmq and clowder
  • User drags a connection between plantcv extractor and rabbitmq
  • User drags a connection between jupyter and clowder
  • User drags a connection between jupyter and plantcv extractor allowing user to call/re-run this code within Jupyter

Gliffy Diagram
nameNDSLabsClowderTERRA0

  • User clicks "Commit" button to deploy the project on NDS Labs cloud resources
  • A status page is returned providing a list of the instanciated services, virtual machines, their status, details, and URL's to the stood up services (e.g. Clowder, Jupyter Lab Notebook)
  • User can now go to/share Clowder URL and use/experiment with the service
  • User can now go to/share Jupyter URL and user/experiment with any data contained within the Clowder instance