Managing the performance of an electronic device
First Claim
Patent Images
1. A method comprising:
- using one or more processors to perform the following;
collecting and analyzing historic resource utilization data relating to a plurality of servers, the resource utilization data representing a load placed on a set of finite resources over a predefined period of time;
generating an exponential growth model for each server based on analysis of the historic resource utilization data;
generating a linear growth model for a particular server by transforming the exponential growth model into the linear growth model when the historic resource utilization data generates a slope of the exponential growth model that is twice a slope of an end of the most recent historic resource utilization data in the exponential growth model;
creating a resource utilization forecast for each server from the exponential growth model or the linear growth model;
receiving an assignment of a threshold value for the resource utilization forecast of each server;
identifying an earliest forecasted date the threshold value is exceeded for the particular server based on the resource utilization forecast and the threshold value of each server; and
sorting a number of resource utilization forecasts by the identified date for each of the number of resource utilization forecasts;
wherein the number of resource utilization forecasts includes linear and exponential growth models.
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Abstract
A performance management system and method for generating a plurality of forecasts for one or more electronic devices is presented. The forecasts are generated from stored performance data and analyzed to determine which devices are likely to experience performance degradation within a predetermined period of time. A single forecast is extracted for further analysis such that computer modeling may be performed upon the performance data to enable the user to predict when device performance will begin to degrade. In one embodiment, graphical displays are created for those devices forecasted to perform at an undesirable level such that suspect devices may be subjected to further analysis.
60 Citations
18 Claims
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1. A method comprising:
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using one or more processors to perform the following; collecting and analyzing historic resource utilization data relating to a plurality of servers, the resource utilization data representing a load placed on a set of finite resources over a predefined period of time; generating an exponential growth model for each server based on analysis of the historic resource utilization data; generating a linear growth model for a particular server by transforming the exponential growth model into the linear growth model when the historic resource utilization data generates a slope of the exponential growth model that is twice a slope of an end of the most recent historic resource utilization data in the exponential growth model; creating a resource utilization forecast for each server from the exponential growth model or the linear growth model; receiving an assignment of a threshold value for the resource utilization forecast of each server; identifying an earliest forecasted date the threshold value is exceeded for the particular server based on the resource utilization forecast and the threshold value of each server; and sorting a number of resource utilization forecasts by the identified date for each of the number of resource utilization forecasts;
wherein the number of resource utilization forecasts includes linear and exponential growth models. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computing device having a computer processor and computer-readable code stored on a non-transitory computer-readable medium and executable by the computer processor, which when executed by a processor, cause the processor to:
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collect and analyze historic resource utilization data relating to a plurality of servers, the resource utilization data representing a load placed on a set of finite resources over a predefined period of time; generate an exponential growth model for each server based on analysis of the historic resource utilization data; generate a linear growth model for a particular server by transforming the exponential growth model into the linear growth model when the historic resource utilization data generates a slope of the exponential growth model that is twice a slope of an end of the most recent historic resource utilization data in the exponential growth model; create a resource utilization forecast for each server from the exponential growth model or the linear growth model; receive an assignment of a threshold value for the resource utilization forecast of each particular server; identify an earliest forecasted date the threshold value is exceeded for the particular server based on the resource utilization forecast and the threshold value of each server; and sort a number of resource utilization forecasts by the identified date for each of the number of resource utilization forecasts;
wherein the number of resource utilization forecasts includes linear and exponential growth models. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A system comprising:
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a processor and memory; a subsystem deployed in the memory and executed by the processor to collect and analyze historic resource utilization data relating to a plurality of servers, the resource utilization data representing a load placed on a set of finite resources over a predefined period of time; a subsystem deployed in the memory and executed by the processor to generate an exponential growth model for each server based on analysis of the historic resource utilization data; a subsystem deployed in the memory and executed by the processor to generate a linear growth model for a particular server by transforming the exponential growth model into the linear growth model when the historic resource utilization data generates a slope of the exponential growth model that is twice a slope of an end of the most recent historic resource utilization data in the exponential growth model; a subsystem deployed in the memory and executed by the processor to create a resource utilization forecast for each server from the exponential growth model or the linear growth model a subsystem deployed in the memory and executed by the processor to receive an assignment of a threshold value for the resource utilization forecast of each server; a subsystem deployed in the memory and executed by the processor to identify an earliest forecasted date the threshold value is exceeded for the particular server based on the resource utilization forecast and the threshold value of each particular server; and a subsystem deployed in the memory and executed by the processor to sort a number of resource utilization forecasts by the identified date for each of the number of resource utilization forecasts;
wherein the number of resource utilization forecasts includes linear and exponential growth models. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification