jhughesoti

@R2D2FISH Tested out the other options on the AVX2 hardware and here are the results for performance: xnnpack and mkldnn both not supported but I don't know enough about this...

Could you elaborate on what the test using the grafana explorer looks like? Not really sure what I would have to do to test this. I'm using the docker-compose file...

PR: https://github.com/faucetsdn/daq/pull/948 corrected the stickler-ci config issue but did not fully resolve formatting issues of the updated code. This one should take care of that.

The ranges used are all the default ranges defined. https://github.com/faucetsdn/daq/blob/master/resources/setups/common/base_config.json#L7 This was just an example from the most recent device being qualified to show the inconsistencies over the same range....

Seems to have done the trick. Also appears to get passing results again so might also be able to close https://github.com/faucetsdn/daq/issues/909.

Addressed in PR https://github.com/faucetsdn/daq/pull/760 for TLS 1.2 client test. TLS 1.3 requires additional failure criteria be determined before it can be addressed for that version.

Python 3.6 is default of Ubuntu 18.04, which I was running. When you run the cmd/build function, it throws an error and prompts an override command to build at this...

Base image I built when it was the latest to rebuild the OS and VM whenever I had to due to corruptions or any other catastrophic loss. Nothing specifically pinning...

Did this issue ever get resolved or committed anywhere to test out?

I fixed this locally by increasing the gradle wrapper for the mudacl files to 5.1.1 and a few associated build files since shadow command creates a slightly different named jar....