Speaker
Mr
Viktor Kotliar
(IHEP)
Description
The information flow should be monitored on anomaly detection. It is important, because it allows
you to see a possible problem in advance and prevent it from turning into a real one. A huge flow of
diverse data within the modern computing center flows from everywhere. As a rule, these are time
series - numerical characteristics that are consistently measured after some time intervals.
At this work there was developed the way of analysis for engineering equipment characteristics in
centralized system of uninterrupted power supply (Symmetra) at IHEP IT center. When tracking
time series, extracted from the data processing and storage system, anomalies are detected using the
Twitter AnomalyDetection package. The information on problem is provided to the engineering and
operational staff.
Primary author
Mrs
Ekaterina Popova
(IHEP)
Co-author
Mr
Viktor Kotliar
(IHEP)
