Application behavior learning based capacity forecast model
AssigneeAppnomic Systems Private Limited
InventorsPadmanabhan Desikachari, Sumanth Narasappa
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Abstract
Various techniques employed by an application performance management service to generate an application behavior learning based capacity forecast model are disclosed. In some embodiments, such a capacity forecast model is at least in part generated by clustering collected transaction data into one or more usage patterns, analyzing collected usage pattern data, and solving a mathematical model generated from the usage pattern data to determine a sensitivity of a resource to each type of transaction associated with an application.
Claims20
A system, comprising:
- a processor configured to:
- cluster collected transaction data into one or more usage patterns;
- analyze collected usage pattern data;
- and
- solve a mathematical model generated from the usage pattern data to determine a sensitivity of a resource to each type of transaction associated with an application;
- and
- a memory coupled to the processor and configured to provide instructions to the processor.
A method, comprising:
- clustering collected transaction data into one or more usage patterns;
- analyzing collected usage pattern data;
- and
- solving a mathematical model generated from the usage pattern data to determine a sensitivity of a resource to each type of transaction associated with an application.
A computer program product embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- clustering collected transaction data into one or more usage patterns;
- analyzing collected usage pattern data;
- and
- solving a mathematical model generated from the usage pattern data to determine a sensitivity of a resource to each type of transaction associated with an application.
Dependencies are inferred from the claim text.