METHOD FOR DETECTING ANOMALIES IN SERVER BEHAVIOR USING OPERATIONAL PERFORMANCE AND FAILURE MODE MONITORING COUNTERS

Patent №

US 7,788,198

Granted

2010-08-31

Filed 2006

Owner

MICROSOFT CORPORATION

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11610987

A strategy is described for detecting anomalies in the operation of a data processing environment. The strategy relies on parameter information to detect the anomalies in a detection operation, the parameter information being derived in a training operation. The parameter information is selected such that the detection of anomalies is governed by both a desired degree of sensitivity (determining how inclusive the detection operation is in defining anomalies) and responsiveness (determining how quickly the detection operation reports the anomalies). The detection operation includes specific algorithms for determining undesired trending and spiking in the performance data.

Machine learningPlanningAI hardwareG06F 11/3409G06F 11/3452G06F 2201/88

AI classification

Planning1.00
AI hardware1.00
Machine learning0.94
Evolutionary computation0.04
Knowledge representation0.04
Speech0.00
Natural language0.00
Vision0.00

Ownership

MICROSOFT CORPORATION

assignment · 187030904

Assignors

LIU, YAODONG, MITCHELL, CARY L., DUNAGAN, JOHN, FUJIMOTO, DANA K.

On an employer assignment, the assignors are typically the inventors.

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