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An anomaly detection and failure prediction system for a large-scale cluster

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Dataset
Dataset
 
 
Model
Model
 
 
Training_Recording
Training_Recording
 
 
Zabbix_data_images
Zabbix_data_images
 
 
correlation
correlation
 
 
test
test
 
 
01-2_All_vector_analysis.ipynb
01-2_All_vector_analysis.ipynb
 
 
01-2_diskio_analysis-for6V.ipynb
01-2_diskio_analysis-for6V.ipynb
 
 
01-2_diskio_analysis.ipynb
01-2_diskio_analysis.ipynb
 
 
01-3_MES_diskio_analysis.ipynb
01-3_MES_diskio_analysis.ipynb
 
 
01_Anomaly_Detection_Analysis.ipynb
01_Anomaly_Detection_Analysis.ipynb
 
 
02-1_Anomaly_Detection_Training_for_tcnae.ipynb
02-1_Anomaly_Detection_Training_for_tcnae.ipynb
 
 
02-2_Training_for_tcnae.ipynb
02-2_Training_for_tcnae.ipynb
 
 
03-1_Result.ipynb
03-1_Result.ipynb
 
 
1_C_anomaly_results.ipynb
1_C_anomaly_results.ipynb
 
 
5v_minmax_scaler.pkl
5v_minmax_scaler.pkl
 
 
5v_robust_scaler.pkl
5v_robust_scaler.pkl
 
 
AE_Conv.py
AE_Conv.py
 
 
AE_TCN.py
AE_TCN.py
 
 
AutoML.py
AutoML.py
 
 
MES_data_analysis0408.ipynb
MES_data_analysis0408.ipynb
 
 
Pyod_test.ipynb
Pyod_test.ipynb
 
 
README.md
README.md
 
 
TCN_VAE.py
TCN_VAE.py
 
 
Untitled.ipynb
Untitled.ipynb
 
 
Untitled1.ipynb
Untitled1.ipynb
 
 
Untitled2.ipynb
Untitled2.ipynb
 
 
Untitled3.ipynb
Untitled3.ipynb
 
 
Untitled4.ipynb
Untitled4.ipynb
 
 
acc_cal_zabbix_anomaly_detection.py
acc_cal_zabbix_anomaly_detection.py
 
 
draw_anomaly.py
draw_anomaly.py
 
 
pre_proccess.py
pre_proccess.py
 
 
predict_utils.py
predict_utils.py
 
 
realt_bok.py
realt_bok.py
 
 
sample_output.txt
sample_output.txt
 
 
test.ipynb
test.ipynb
 
 
test.py
test.py
 
 
threshold.py
threshold.py
 
 
train.py
train.py
 
 
zabbix_anomaly_detection.py
zabbix_anomaly_detection.py
 
 
zabbix_anomaly_detection_v1.py
zabbix_anomaly_detection_v1.py
 
 

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Zabbix_Online_detection

Start Online Anomaly Detection

python zabbix_anomaly_detection.py

Failure Bitmap on Sliding Window Operation

1 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 1 0 1 0 1 0 0 0 1 1 1 1 1 1 0 1 0 0 0 1 0 0 1 0 1 1

Failure Range

Print the upper and lower bounds of continuous anomaly time
'2021-07-05T13:00:00.000000000~2021-07-06T20:00:00.000000000'

Sample Output

Anomaly Range: 2021-06-21T14:00:00.000000000~2021-06-22T22:00:00.000000000
Anomaly Range: 2021-06-21T17:00:00.000000000~2021-06-23T00:00:00.000000000
Anomaly Range: 2021-06-21T19:00:00.000000000~2021-06-23T02:00:00.000000000
Anomaly Range: 2021-06-22T05:00:00.000000000~2021-06-23T13:00:00.000000000
Anomaly Range: 2021-06-22T10:00:00.000000000~2021-06-23T17:00:00.000000000

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An anomaly detection and failure prediction system for a large-scale cluster

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data-driven anomaly-detection

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