Choose an open source tool that you love—or that you think could use some love in the sustainability department—and explore how it can be made greener.
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This project presents a clear and compelling exploration of carbon-aware storage. The use of a B+ Tree and simulated carbon intensity to optimize disk flushing is innovative. The interactive carbon simulation and real-time visual feedback enhance understanding. The project is well-structured, and the README provides comprehensive instructions. Next step: Integrate with a real-world carbon intensity data API.
Merge pull request #11 from pillairaunak/update_intensity_threshold
Updating carbon intensity threshold
Updating carbon intensity threshold
Merge pull request #10 from pillairaunak/fix_carbon_intensity
Fixing carbon intensity
Fixing carbon intensity
Merge branch 'main' of github.com:pillairaunak/carbonAwareDataStore (@JonasWard)
feat: hsla colors (@JonasWard)
Merge pull request #9 from pillairaunak/fixing_intensity
Fixing intensity reading
Fixing intensity reading
feat: getting current co2eq (@JonasWard)
Merge branch 'main' of github.com:pillairaunak/carbonAwareDataStore (@JonasWard)
fix: labels (@JonasWard)
Merge pull request #8 from pillairaunak/new_stuff
Visualizer with backend data plotting
Visualizer with backend data plotting
Merge branch 'main' of github.com:pillairaunak/carbonAwareDataStore (@JonasWard)
fix: brought back box styling (@JonasWard)
Merge pull request #7 from pillairaunak/new_output
New output
timestamp formatted forecast
Merge branch 'frontend-graph' (@JonasWard)
feat: regrading values (@JonasWard)
feat: improved styling (@JonasWard)
Merge branch 'frontend-graph' (@JonasWard)
feat: imported graph (@JonasWard)
chore: extracted graph code (@JonasWard)
WIP (@Tetra-quark)
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Now, clearly define success metrics for your chosen "Greenify" approach. Outline the steps you'll take to measure the impact of your changes on the tool's energy efficiency. Prioritize fairness by ensuring your measurement methodology is consistent and reproducible.
Merge pull request #4 from pillairaunak/real_system
Real system
Merge pull request #6 from pillairaunak/feature/rpillai
Some Changes
Some Changes
Fix imports (@Tetra-quark)
Revert accidental changes (@Tetra-quark)
Add electricitymaps.py data source, remove unused imports (@Tetra-quark)
Fix BaseModel issue, add Data BaseModel class. (@Tetra-quark)
Rename mocksource.py (@Tetra-quark)
Refactor datasource and api calls (@Tetra-quark)
Merge branch 'main' into frontend-graph (@JonasWard)
feat: graph prototype (@JonasWard)
Merge pull request #3 from pillairaunak/real_system
Real system (@Tetra-quark)
Carbon data included
Real data for carbon
Sources for Energy Forecasts:
Update README.md
Merge pull request #1 from pillairaunak/update_gitignore
removing unnecessary file and gitignore
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Started working on tool to decide where a DB query goes based on carbon intensity. Dashboard mocked in Google Slides. First step is to choose a source of data. ElectricityMaps is an inspiration for this: forecasts will suggest the time of day for long-running compute jobs.