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A-Tune is an OS tuning engine powered by AI. A-Tune uses AI technologies to enable the OS to understand services, simplify IT system tuning, and maximize application performance.
Supported OS: openEuler 20.03 LTS or later
yum install -y atune
For openEuler 20.09 or later, atune-engine is needed.
yum install -y atune-engine
Note: After running systemctl start atuned, an error message may displayed because of the authentication certificate is not configured. There are two ways to solve the problem:
/etc/anined/anined.cnf to the absolute path of the certificate file/etc/atuned/engine.cnf to the absolute path of the certificate filerestcerts and enginecerts in A-Tune/Makefile
rest_tls(L59) and engine_tls(L66) in /etc/atuned/atuned.cnf to falseengine_tls(L22) in /etc/atuned/engine.cnf to falseyum install -y golang-bin python3 perf sysstat hwloc-gui lshw
yum install -y python3-dict2xml python3-flask-restful python3-pandas python3-scikit-optimize python3-xgboost python3-pyyaml
Or
pip3 install dict2xml Flask-RESTful pandas scikit-optimize xgboost scikit-learn pyyaml
If you have already installed the database application and want to store A-Tune collection and tuning data to the database, you must also install the following packages:
yum install -y python3-sqlalchemy python3-cryptography
Or
pip3 install sqlalchemy cryptography
To use the database, you should also select either of the following methods to install dependency for the database application.
| Database | Install Using yum | Install Using pip |
|---|---|---|
| PostgreSQL | yum install -y python3-psycopg2 | pip3 install psycopg2 |
git clone https://gitee.com/openeuler/A-Tune.git
cd A-Tune
make
make collector-install
make install
Note: If the atuned service is installed by 'make install', NIC and disk have been automatically updated to the default device in current machine. If you need to collect data from other devices, configure atuned service according to following step.
You can run the following command to query the NIC that needs to be specified for data collection or optimization and change the value of the network configuration item in the /etc/atuned/atuned.cnf file to the specified NIC.
ip addr
You can run the following command to query the disk that needs to be specified for data collection or optimization and change the value of the disk configuration item in the /etc/atuned/atuned.cnf file to the specified disk.
fdisk -l | grep dev
systemctl daemon-reload
systemctl start atuned
systemctl start atune-rest
systemctl start atune-engine
systemctl status atuned
systemctl status atune-rest
systemctl status atune-engine
You can save the newly collected data to the A-Tune/analysis/dataset directory and run the model generation tool to update the AI model in the A-Tune/analysis/models directory.
Format
python3 generate_models.py
Parameter Description
| Parameter | Description |
|---|---|
| --csv_path, -d | Path for storing CSV files required for model training. The default directory is A-Tune/analysis/dataset. |
| --model_path, -m | Path for storing the new models generated during training. The default path is A-Tune/analysis/models. |
| --select, -s | Indicates whether to generate feature models. The default value is false. |
| --search, -g | Indicates whether to enable parameter space search. The default value is false. |
Example:
python3 generate_models.py
This command is used to list the supported profiles as well as active profiles.
Format:
atune-adm list
Example:
atune-adm list
This command is used to manually activate the profile to make it in the active state.
Format:
atune-adm profile
Example: Activate the profile corresponding to the web-nginx-http-long-connection.
atune-adm profile web-nginx-http-long-connection
This command is used to collect real-time statistics from the system to identify and automatically optimize workload types.
Note: Some data collected by the analysis command are from the hard disk and network card configured in the atuned service configuration file (/etc/atuned/atuned.cnf). Before executing the command, check whether the configuration items are as expected. To collect data from other network cards or hard disk, you need to update the atuned service configuration file and restart the atuned service.
Format:
atune-adm analysis [OPTIONS]
Example 1: Use the default model to identify applications and perform automatic tuning.
atune-adm analysis
Example 2: Use the user-defined model for recognition.
atune-adm analysis --model /usr/libexec/atuned/analysis/models/new-model.m
Use the specified project file to search the dynamic space for parameters and find the optimal solution under the current environment configuration.
Format:
atune-adm tuning [OPTIONS] <PROJECT_YAML>
Example: See the A-Tune offline tuning example. Each example has a corresponding README guide.
For details about other commands, see the atune-adm help information or A-Tune User Guide.
A-Tune-UI is a web project based on A-Tune. Please check A-Tune-UI README for details.
We welcome new contributors to participate in the project, and we are happy to provide guidance for new contributors. Please sign CLA before contribution.
If you have any question, please contact A-Tune.
The SIG meeting is hold at 10:00-12:00 AM on Friday every two weeks. Please send your issues to the A-Tune mailing list.
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