English | 简体中文
Introduction to A-Tune
A-Tune is an OS tuning engine based on AI. A-Tune uses AI technologies to enable the OS to understand services, simplify IT system optimization, and maximize optimal application performance.
I. A-Tune Installation
Supported OS: openEuler 1.0 or later
Method 1 (applicable to common users): Use the default A-Tune of openEuler.
yum install -y atune
Method 2 (applicable to developers): Use the source code of the local repository for installation.
1. Install dependent system software packages.
yum install -y golang-bin python3 perf sysstat hwloc-gui
2. Install Python dependent packages.
yum install -y python3-dict2xml python3-flask-restful python3-pandas python3-scikit-optimize python3-xgboost
pip3 install dict2xml Flask-RESTful pandas scikit-optimize xgboost scikit-learn
3. Download the source code.
git clone https://gitee.com/openeuler/A-Tune.git
cd A-Tune make models make
II. Quick Guide
1. Manage the atuned service.
Load and start the atuned service.
systemctl daemon-reload systemctl start atuned systemctl start atune-engine
Check the atuned service status.
systemctl status atuned
2. Run the atune-adm command.
The list command.
This command is used to list the supported workload types, profiles, and the values of Active.
The analysis command.
This command is used to collect real-time statistics from the system to identify and automatically optimize workload types.
atune-adm analysis [OPTIONS] [APP_NAME]
Example 1: Use the default model for classification and identification.
Example 2: Use the user-defined training model for recognition.
atune-adm analysis –model ./model/new-model.m
Example 3: Specify the current system application as MySQL, which is for reference only.
atune-adm analysis mysql
For details about other commands, see the atune-adm help information or A-Tune User Guide.
III. How to contribute
We welcome new contributors to participate in the project. And we are happy to provide guidance for new contributors. You need to sign CLA before contribution.
Any question or discussion please contact A-Tune.
Holding SIG Meeting at 2:30-4:30 PM on Monday every two weeks. You can apply topic by mail list.