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Proposed architecture diagram :
Study the Apache Airavata’s User and Experiment Database
There are multiple databases like profile_service, experiment_catalog, app_catalog, replica_catalog, sharing_catalog, credential_store which contains information such as user’s name, demography, input, queue_status, credentials, token_id, resource status etc. These are the details that need to be fetched and structured and experimented upon and later on visualized by converting into charts, bars etc using apache superset.
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For integration testing I’ll test entire workflow with various scenario and edge cases .
Task | Timelines | Deliverables |
Study the Apache Airavata’s User and Experiment Database | May 27, 2022 |
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Creation of the few feature API’s | June 20, 2022 |
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Creation of the dashboard to visualize the the data | july 5, 2022 |
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Completion of all the API and finish the Dashboard implementation | July 30, 2022 |
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End to End Testing | August 15, 2022 |
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Prepare project report and documentation | August 30, 2022 |
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JIRA: