Automated health model generation and refinement

Details Automated health model generation and refinement Automated health model generation and refinement

2011-06-14

2011-06-14

Guyton, Philip (Department: 2113)

Error detection/correction and fault detection/recovery

Data processing system error or fault handling

Reliability and availability

C714S025000, C714S039000

Reexamination Certificate

active

07962797

ABSTRACT:
The present invention extends to methods, systems, and computer program products for automatically generating and refining health models. Embodiments of the invention use machine learning tools to analyze historical telemetry data from a server deployment. The tools output fingerprints, for example, small groupings of specific metrics-plus-behavioral parameters, that uniquely identify and describe past problem events mined from the historical data. Embodiments automatically translate the fingerprints into health models that can be directly applied to monitoring the running system. Fully-automated feedback loops for identifying past problems and giving advance notice as those problems emerge in the future is facilitated without any operator intervention. In some embodiments, a single portion of expert knowledge, for example, Key Performance Indicator (KPI) data, initiates health model generation. Once initiated, the feedback loop can be fully automated to access further telemetry and refine health models based on the further telemetry.

REFERENCES:
patent: 6907416 (2005-06-01), Tasooji et al.
patent: 7020802 (2006-03-01), Gross et al.
patent: 7184935 (2007-02-01), Cohen et al.
patent: 7243265 (2007-07-01), Wookey et al.
patent: 7519860 (2009-04-01), Hatonen et al.
patent: 2005/0125710 (2005-06-01), Sanghvi
patent: 2005/0228880 (2005-10-01), Champlin
patent: 2006/0015597 (2006-01-01), Scott et al.
patent: 2006/0229931 (2006-10-01), Fligler et al.
patent: 2007/0192150 (2007-08-01), Belkin et al.
patent: 2007/0294591 (2007-12-01), Usynin et al.
patent: 2008/0046559 (2008-02-01), Langer et al.
patent: 2008/0103729 (2008-05-01), Barham et al.
patent: 2008/0163015 (2008-07-01), Kagan et al.
patent: 2008/0209030 (2008-08-01), Goldszmidt et al.
patent: 2010/0121776 (2010-05-01), Stenger
patent: 2010/0306597 (2010-12-01), Goldszmidt et al.
Bowring, James F., et al., “TRIP WIRE: Mediating Software Self-Awareness”, Second International Workshop on Remote Analysis and Measurement of Software Systems (RAMSS 04)—W15S Workshop—26th International Conference on Software Engineering (2004/915), 2004, p. 11-14.
Yairi, Takehisa, et al., “Telemetry-mining: A Machine Learning Approach to Anomaly Detection and Fault Diagnosis for Space Systems”, 2nd IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT'06), 2006, 8 pages.
Avin, Mathew, et al., “Reducing maintenance cost through effective prediction analysis and process integration”, Advances in Vibration Engineering 5(2): pp. 87-96, 2006.
Gabriel, Richard P., et al., “Conscientious Software”, Proceedings of the 2006 OOPSLA Conference, Oct. 2006, pp. 433-450.
Mao, Yun, et al., “Automated Computer System Diagnosis by Machine Learning Approaches”, Aug. 2005, 31 pages.

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