Automated Generation of Markov Chains for Use in Information Technology

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20110320228A1
SERIAL NO

12872933

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Abstract

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Disclosed are methods and systems to automatically generate a model for pro-active rather than reactive enterprise systems management. In one embodiment, a Markov Chain model is constructed from a Configuration Management Database (CMDB), Service Impact models, event logs and system logs. The model can then be maintained and automatically updated or regenerated based on changing conditions and attributes of configuration items (CIs) being modeled. As part of model generations probabilities associated with potential state transitions of CIs can be calculated. The model can then be used to predict anticipated availability of a corporate enterprise or specific portions of a corporate information technology (IT) environment. In another embodiment, a model can be used to perform what-if scenarios to assist in planning or deferring change requests for the corporate IT environment.

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Patent Owner(s)

Patent OwnerAddress
BMC SOFTWARE INC2103 CITYWEST BLVD HOUSTON TX 77042

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kowalski, Vincent Joseph Houston, US 9 317

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