...
- Prior performance benchmarking and assessment work
- Three of the performance areas highlighted previously have not yet been sufficiently tested
- total data size
- ingest rate
- LDP/SPARQL Update performance (per Hydra practice)
- Clustering
- Primary use case seems to be high availability
- What increased scale clustering affords is unclear, partly because we haven't yet fully probed how far a single instance scales (as a baseline)
- Would be good to know how performance (response time) changes:
- as a file size increases
- as # of files increases
- as # of resources increases (consider also # of properties)/containers increases
- We endeavor here to establish a process & baselines for the more isolated tests (1a in the agenda) so that we can make progress on "real-world"-type tests (1b in the agenda)
- How should we treat other axes? Defer at first, then examine later.
- authorization
- transactions
- concurrency
- versioning
- How should we treat other axes? Defer at first, then examine later.
- Three of the performance areas highlighted previously have not yet been sufficiently tested