globus-labs / globus-labs/cascade
streamline communication
- Dominant language
- Jupyter Notebook
- Stars
- 4
- Forks
- 0
- Avg merge
- 11m
- Merged PRs (30d)
- 2
Description
the data flow between agents over both the exchange and the DB is quite haphazard and could be streamlined to reduce redundant queries / passing of too much data over the network. this is worth thinking carefully about before fixing to meet our performance needs and (hopefully) improving understandability of the code.
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are identified. Start by mapping how data flows between agents through the exchange and the DB, then measure redundant queries and network payload sizes. Done means an agreed design that reduces unnecessary queries and transferred data while making the flow easier to understand.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- databases, distributed-systems, performance
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100