11 lines
866 B
Markdown
11 lines
866 B
Markdown
# LabDataStorageEvaluation
|
||
|
||
Build a complete, reproducible pipeline that:
|
||
|
||
|
||
Defines a simulated tribology laboratory (Sandia Pt-Au LDRD context) with real instruments and a realistic test workflow.
|
||
Generates ~150 MB of physically plausible measurement data in CSV (the canonical raw format).
|
||
Converts the CSV corpus into 4 target storage formats: JSON-LD, SQLite (optimized), PostgreSQL (indexed + partitioned), RDF TripleStore.
|
||
Benchmarks 7 laboratory-standard retrieval scenarios (Q1–Q7) against all 5 formats, measuring wall time, peak RAM, CPU utilization, disk I/O, and disk footprint.
|
||
Extrapolates measured results to 600 GB and beyond (0.6 / 1.2 / 6 TB) using complexity-aware scaling models.
|
||
Produces summary tables and charts that clearly rank storage formats for laboratory use (analysis, reporting, search/filter, archiving, inter-lab exchange). |