- Tytuł:
- Anomaly detection in server metrics with use of one-sided median algorithm
- Autorzy:
-
Zacher, S.
Ryba, P. - Powiązania:
- https://bibliotekanauki.pl/articles/972918.pdf
- Data publikacji:
- 2017
- Wydawca:
- Społeczna Akademia Nauk w Łodzi
- Tematy:
-
anomaly detection
time series
one-sided median
server metrics - Opis:
- In this paper we consider the problem of anomaly detection over time series metrics data took from one of corporate grade mail service cluster. We propose the algorithm based on one-sided median concept and present some results of experiments showing impact of parameters settings on algorithm performance. In addition we present short description of classes of anomalies discovered in monitored system. Proposed one-sided median based algorithm shows great robustness and good detection rate and can be considered as possible simple production ready solution.
- Źródło:
-
Journal of Applied Computer Science Methods; 2017, 9 No. 1; 5-22
1689-9636 - Pojawia się w:
- Journal of Applied Computer Science Methods
- Dostawca treści:
- Biblioteka Nauki
Artykuł