| commit | b911fa5b36f99a951c7bc26879cd919320175069 | [log] [tgz] |
|---|---|---|
| author | Mark Beierl <mark.beierl@canonical.com> | Fri Jan 27 19:05:58 2023 +0000 |
| committer | Mark Beierl <mark.beierl@canonical.com> | Fri Jan 27 19:05:58 2023 +0000 |
| tree | 8ccbf59cea56c4becd0bfb9748ac12173165261f | |
| parent | 5261735d9ee7b1cc4b983a6381a480b625b1299b [diff] |
Updating python dependencies Update of Python packages (using pip-compile) in preparation for Release FOURTEEN Change-Id: Ic31d9ebfd740d31ce1c1ff5ba18a29f84c5cbee0 Signed-off-by: Mark Beierl <mark.beierl@canonical.com>
The PLA module provides computation of optimal placement of xNFs over VIMs by matching NS specific requirements to infrastructure availability and run-time metrics, while considering cost of compute/network.
Please refer to the PLA User's Guide for a description on how to enable and configure the placement functionality.
The preferred method to run the PLA unit test is to use tox.
$ tox
Please note that some of the unit test modules have dependencies to Minizinc, e.g. test_mznmodels.py and test_mznPlacementConductor.py. If these tests are to be performed outside a PLA container context, like .e.g. from CLI or from within an IDE, setup the environment as follows (linux example):
$ sudo snap install minizinc --classic $ sudo mkdir -p /minizinc/bin $ sudo ln -s /snap/bin/minizinc /minizinc/bin/minizinc
PLA is an optional module in OSM. It is installed together with OSM by adding --pla to the install script.
$ ./install_osm.sh --pla
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
This project is licensed under the Apache2 License - see the LICENSE.md file for details