System and method for detecting performance anomalies in a...

Details System and method for detecting performance anomalies in a... System and method for detecting performance anomalies in a...

2007-04-30

2009-08-18

Raymond, Edward (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Performance or efficiency evaluation

C702S105000, C702S183000, C714S025000, C714S048000, C700S029000, C700S079000, C700S110000, C713S188000, C713S194000, C706S052000

Reexamination Certificate

active

07577550

ABSTRACT:
A method comprises receiving, by learning logic, historical metrics of a computing system being monitored. The learning logic determines, from the received historical metrics, forms of sub-functions that are included in an equation, wherein each sub-function represents a dependency between two components linked in a hierarchical structure representing the computing system being monitored. State determination logic receives metric values of the computing system being monitored, and determines states that minimize the equation composed of the sub-functions over the received metric values. Finally, anomalous behavior of the computing system may be detected based on the determined states.

REFERENCES:
patent: 6769066 (2004-07-01), Botros et al.
patent: 6915237 (2005-07-01), Hashemian
patent: 7225343 (2007-05-01), Honig et al.
patent: 2007/0150949 (2007-06-01), Futamura et al.
Zhang et al., ‘A Hierarchical Anomaly Network Intrusion Detection System using Neural Network Classification’, Jun. 2001, IEEE, p. 85-90.

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