...
| Threads | Time (s) | Speedup | Comments |
| 1 | 140.4 | 1.0 |
|
| 2 | 71.6 | 2.0 | 2 threads is 2x faster than 1 thread |
| 3 | 48.5 | 2.9 |
|
| 4 | 37.2 | 3.8 |
|
| 5 | 31.0 | 4.5 |
|
| 6 | 26.6 | 5.3 |
|
| 7 | 23.8 | 5.9 |
|
| 8 | 21.6 | 6.5 |
|
| 9 | 20.0 | 7.0 |
|
| 10 | 18.7 | 7.5 | 10 threads is 7.5x faster than 1 thread |
| 11 | 17.7 | 7.9 |
|
| 12 | 16.8 | 8.4 | There are exactly 12 CPU cores (logical) on test machine |
| 13 | 16.7 | 8.4 |
|
| 14 | 16.7 | 8.4 |
|
| 15 | 16.8 | 8.4 |
|
| 20 | 16.8 | 8.4 |
|
| 30 | 16.7 | 8.4 |
|
| 40 | 16.8 | 8.4 |
|
| 50 | 16.7 | 8.4 |
|
Graphs
Image Added
Observations
- There were no failures during the tests (e.g. timeouts or refused connections).
- Performance increases nearly linearly with increasing thread count, up to the number of CPU cores.
- Performance stops increasing when the number of threads equals the number of CPU cores (expected).
- Verbose statistics show that each individual request takes around 0.14 seconds, regardless of thread count (but with multiple CPU cores, requests are really done in parallel).
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Test scripts overview
- performanceTest.sh
Get 1000 times single large object from thousands of devices (1000, 2000, ..., 10000) and create metric after each run
- performanceRootTest.sh
Get 10 times the whole data tree as one object from thousands of devices (1000, 2000, ..., 10000) and create metric after each run
- parallelGetRequestTest.sh
Get one devices parallel from a database with 10000 devices, executed 10 times sequential
- buildup.sh
Create the dataspace, create the schemaset, create the anchor and create the root node
- owb-msa221.zip
The schemaset for the tests
- outNode.json
The input for the root node creation
- createThousandNode.sh
Helper script for the database creation
- innerNode.json
The input for the sub node creation
- createMetric.sh
Helper script for metric creation