- On a setup running OpenStack or Devstack, download the zip file containing the source code.
- Edit the connection.conf file to record the Controller, Compute and database connection information. Please note that it is okay if they are all on the same machine.
- Start the program by running
python main.py
Note: Please note that to get any meaningful predictions, you would need existing virtual machines on OpenStack that are generating data in a repeated pattern.
| Filename | Purpose | New/Modified | Comments |
|---|---|---|---|
| Holt_Winters.py | Machine learning algorithm which predicts user's bandwidth for next hour and stores value in database | new | Added LOC-115 |
| README.md | List of files and it's purpose and comments | new | Added LOC-13 |
| connection.conf | Configure file having all the configuration details for host | new | Added LOC-14 |
| dataCollection.py | collects data to the database | new | Added LOC-87 |
| dataDump.py | Dumps data to the database | new | Added LOC-90 |
| portsInfo.py | Collects bandwidth corresponding to each VMs of tenant per port basis | new | Added LOC-93 |
| presentation.py | script that invokes the jinja/django template from template/presentation.html | new | Added LOC-152 |
| rule_generator.py | Rules for the OVS | new | Added LOC-178 |
| setup.py | Install package required | new | Added LOC-28 |
| tox.ini | runs test suite on supported python versions | new | Added LOC-14 |
| template/presentation.html | presentation html for each tenant with bandwidth and predicted bandwidth graphs | new | Added LOC-150 |