Two dimensional time-series for anomaly detection and regulation in adaptive systems

被引：0
|
作者：
Burgess, M [1 ]
机构：
[1] Oslo Univ Coll, Fac Engn, N-0254 Oslo, Norway
来源：
MANAGEMENT TECHNOLOGIES FOR E-COMMERCE AND E-BUSINESS APPLICATIONS, PROCEEDINGS | 2002年 / 2506卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A two dimensional time approach is introduced in order to classify a periodic, adaptive threshold for service level anomaly detection. An iterative algorithm is applied to history analysis on this periodic time to provide a the smooth roll-off in the significance of the data with time. The algorithm described leads to an approximately ten-fold compression in data storage, and thousand fold improvement in computation cycles, compared to a naive time-series approach. The behaviour of this anomaly detector is discussed, and the result is implemented in cfengine for direct use in system management.
引用
收藏
页码：169 / 180
页数：12
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