How to obtain unormalized memory counts for cluster-trace-v2017 and cluster-tracev2018
Open
- Dominant language
- Jupyter Notebook
- Stars
- 2.2k
- Forks
- 482
- PR merge metrics
- No merged PRs in 30d
Description
Hi, I am trying to figure out how to un-normalize memory counts so I can translate them to pod specs, however its unclear what the divisor of these values is. what should I multiply them by to get the unnormalized values?
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the memory-count fields and supporting documentation for cluster-trace-v2017 and cluster-tracev2018. Determine the divisor or unit conversion needed to map the normalized values to pod specs; done means the conversion is confirmed for both traces and clearly documented.
Written by the indexing model from the issue text.
Assessment
- Domain
- data
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 45/100