spcl / spcl/serverless-benchmarks
New experiments
Open
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aws
azure
enhancement
gcp
- Dominant language
- Python
- Stars
- 199
- Forks
- 105
- PR merge metrics
- No merged PRs in 30d
Description
Currently, we have two experiments fully supported - perf-cost and invocation latency - and two work-in-progress: container evictions and communication benchmarks. We want to extend this with new types of experiments:
- Invocation latency that would work without requirement on direct connections (no ping-pong).
- Scalability experiments.
- Queue and storage invocation latency (see pending PR for support #220 and #201).
- Multi-threaded performance - many vCPUs on function.
- Performance stability and straggler frequency.
- HPL-like experiment to measure max flops per CPU.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the existing perf-cost and invocation latency experiments, along with the pending support referenced in PRs #220 and #201. Choose and scope one experiment type first; done should include a defined benchmark implementation and a way to measure its results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100