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It would be good to profile the UI Server against the "complex" workflow running with something like a 1-5 second sleep for a few cycles to give us a good benchmark for expected resource usage.
Suggested experiment:
- Create an environment with no other Jupyter Server extensions (including Jupyter Lab).
- So we are profiling Cylc, the whole Cylc and nothing but the Cylc.
- Clear your
cylc-rundirectory (including stopped workflows).- So we are only measuring the impact of the one workflow.
- Profile the
cylc guicommand.- This will give us a memory watermark for an idle UIS.
- Profile the default landing page (i.e. the Dashboard).
- Run the "complex" workflow (located in the Cylc 7 source code under
etc/dev-suites).- I would pick a 1-5 second sleep (whatever works best for your platform, note the value you choose).
- Start it
--paused. - Set the final cycle point to a few cycles in the future (note the value you use).
- Suggest profiling the workflow too so we can compare the memory fluctuation of the two side-by-side.
- Profile the
cylc guicommand.- Open a tree view on the "complex" workflow.
- Unpause the workflow.
- Let the workflow run to completion, give it a few seconds, then end the experiment.
Suggest using Memory Profiler on both the workflow and UIS and generating memory usage graphs for both. CPU usage is also of interest.
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