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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.
Supported OS: openEuler 20.03 LTS or later
yum install -y atuneFor openEuler 20.09 or later, atune-engine is needed
yum install -y atune-engineyum install -y golang-bin python3 perf sysstat hwloc-guiyum install -y python3-dict2xml python3-flask-restful python3-pandas python3-scikit-optimize python3-xgboost python3-pyyamlOr
pip3 install dict2xml Flask-RESTful pandas scikit-optimize xgboost scikit-learn pyyamlOnce user has already installed database application and wants to store A-Tune collection and tuning data to the database, following packages should also be installed:
yum install -y python3-sqlalchemy python3-cryptographyOr
pip3 install sqlalchemy cryptographyTo use database, user should also select either of the following methods to install dependency based on the database applications.
| Database | Install using yum | Install using pip |
|---|---|---|
| PostgreSQL | yum install -y python3-psycopg2 | pip3 install psycopg2 |
git clone https://gitee.com/openeuler/A-Tune.gitcd A-Tune
make models
makemake collector-install
make installYou can run the following command to query the NIC that need to be specified for data collecting or optimizing NIC and change the network configuration item in the /etc/atuned/atuned.cnf to the specified NIC.
ip addrYou can run the following command to query the disk that need to be specified for data collection or disk optimization and change the disk configuration item in the /etc/atuned/atuned.cnf to the specified disk.
fdisk -l | grep devsystemctl daemon-reload
systemctl start atuned
systemctl start atune-enginesystemctl status atuned
systemctl status atune-engineThis command is used to list the supported profiles, and the values of active.
Format:
atune-adm list
Example:
atune-adm listManually 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-connectionThis command is used to collect real-time statistics from the system to identify and automatically optimize workload types.
Format:
atune-adm analysis [OPTIONS]
Example 1: Use the default model to identify applications and perform automatic tuning.
atune-adm analysisExample 2: Use the user-defined training model for recognition.
atune-adm analysis --model /usr/libexec/atuned/analysis/models/new-model.mUse 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 base 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. You need to sign CLA before contribution.
Any question or discussion please contact A-Tune.
Holding SIG Meeting at 10:00-12:00 AM on Friday every two weeks. You can apply topic by A-Tune mail list.
