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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 1.0 or later
yum install -y atune
yum install -y golang-bin python3 perf sysstat hwloc-gui
yum install -y python3-dict2xml python3-flask-restful python3-pandas python3-scikit-optimize python3-xgboost
pip3 install dict2xml Flask-RESTful pandas scikit-optimize xgboost
mkdir -p /home/gopath/src cd /home/gopath/src git clone https://gitee.com/openeuler/A-Tune.git atune
cd atune export GO111MODULE=off make
systemctl daemon-reload systemctl start atuned
systemctl status atuned
This command is used to list the supported workload types, profiles, and the values of Active.
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.