Computer performance estimation system configured to take expected events into consideration
AssigneeNetuitive, Inc.
InventorJean-François Huard
Life of this patent
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AssigneeNetuitive, Inc.
InventorJean-François Huard
Estimating the term…
The present invention may be embodied as expected event scheduler and processor in an application performance monitoring (APM) services. The expected event scheduler and processor allows the APM system to take scheduled events into account when performing the performance forecasting for the host system. The learned parameters may be based on measured input values including internal measurements, such as data from monitoring agents located within the host computer system, as well as external measurements relating to factors such as computer backup runs, monthly payroll runs, quarterly financial reporting runs, weekends, holidays, weather data, traffic data, advertisements run by the operator of the system or others, promotional events, product releases, news announcements, elections and other natural and demographic factors. The expected events may overlap in time, and the expected event scheduler and processor learns weighing factors for the simultaneously occurring expected events by updating the learned parameters over successive time trials.
In or for an estimation system for a host system operable for receiving input values for successive time trials, computing output values based on the input values and learned parameters, and updating the learned parameters to reflect relationships observed among the input and output values, a method comprising the steps of:
In or for an computer performance estimation system operable for receiving input values for successive time trials, computing output values based on the input values and learned parameters, and updating the learned parameters to reflect relationships observed among the input and output values, a method comprising the steps of:
In or for an computer performance estimation system operable for receiving input values for successive time trials, computing output values based on the input values and learned parameters, and updating the learned parameters to reflect relationships observed among the input and output values, a method comprising the steps of:
Dependencies are inferred from the claim text.