Mehmed Mustafa

@bertsky Check the discussion here: https://github.com/OCR-D/spec/pull/208

The OtoN converter is finished. Currently, there are no know issues or bugs. Source: https://github.com/MehmedGIT/OtoN_Converter

Hi @ccascone I have ONOS project account and uploaded patches there before. I will submit my patch soon.

The two Nextflow scripts were added [here](https://github.com/subugoe/operandi/tree/main/ExampleWorkflows/Nextflow). Read the readme of section `workflow7` and check inside folder `workflow7`.

@bertsky, here is the important part of the output for results for 1500 files per page and 500 pages. As I mentioned in the tech call, searching tests have failed....

> Great to hear this is finally ready. My understanding was that we merge https://github.com/OCR-D/core/pull/678 first and see how this affects RSS (or PSS) througout your test scenarios. Do you...

@bertsky, @kba I would also refer again to this summary #946. From the table, we could see the comparisons and that memory usage does not increase in all cases when...

> (But I think that would still not be atomic. Perhaps instead of the result queue mechanism and background thread, we should use the callback mechanism and add a regular...

Yes, but the Processing Server is just a proxy (with some validation on top) as it is now and has no other role. I am not sure how the buffering...

> The internal queue thus enforces order. See my explanation above. I was just thinking about a solution without utilizing any internal network queues at all (avoid additional connections to...