Auto adjustment of baseline on configuration change
View Patent ↗A baseline adjusting technique allows automatically adjust the baselines of metrics affected by a configuration change a monitored system. If a configuration change is detected, a performance management system retrieves linkages between the changed configuration parameter and one or more metrics. The performance management system then adjusts the baselines of the metric using the baseline adjusting algorithm retrieved from the linkage.
1. A method for monitoring performance of an information technology system, the method comprising:
detecting a change in a configuration parameter in a computer system;
identifying at least one linkage between the changed configuration parameter and at least one metric of the computer system, wherein each of the at least one linkage comprise a baseline rescaling formula that accounts for the change in the configuration parameter; and
at the time of detecting the change in the configuration parameter, rescaling a baseline for the at least one metric based on the baseline rescaling formula.
2. The method of claim 1 , wherein the act of identifying at least one linkage between the changed configuration parameter and at least one metric of the computer system comprises identifying at least one linkage corresponding to the detected change in the configuration parameter from a set of linkages between configuration parameters and metrics, wherein the set of linkages between configuration parameters and metrics are stored in a knowledgebase.
3. The method of claim 2 , wherein the set of linkages between configuration parameters and metrics are sourced from a set of data collection meta data.
4. The method of claim 2 , wherein the set of linkages between configuration parameters and metrics are pre-configured.
5. The method of claim 1 , wherein the rescaling formula includes calculating the baseline by dividing an existing configuration parameter value by a new configuration parameter value to obtain a value, and multiplying the value by an existing baseline value.
6. The method of claim 5 , wherein the configuration parameters include a number of CPUs associated with the computer system.
7. The method of claim 1 , further comprising:
discarding baseline values prior to the detected change in the configuration parameter; and
recalculating the baseline using data collected after the detected change in the configuration parameter.
8. The method of claim 1 , further comprising: increasing baseline calculation speed.
9. The method of claim 1 , wherein the act of detecting a change in a configuration parameter comprises receiving, from an agent, a list of changed configuration parameters.
10. A programmable storage device having programmed instructions stored thereon for causing a programmable control device to perform a method according to claim 1 .
11. A method for monitoring performance of an information technology system, the method comprising:
receiving a change in a configuration parameter in a computer system;
identifying at least one linkage between the changed configuration parameter and at least one metric of the computer system, wherein each of the at least one linkage comprise a baseline rescaling formula that accounts for the change in the configuration parameter;
retrieving a baseline corresponding to each of the at least one metric;
identifying at least one baseline rescaling formula, from the identified at least one linkage, for the each of the at least one metric; and
at the time of detecting the change in the configuration parameter, rescaling the baseline using the at least one baseline rescaling formula.
12. The method of claim 11 , wherein the act of identifying at least one linkage between the changed configuration parameter and at least one metric of the computer system comprises identifying at least one linkage corresponding to the detected change in the configuration parameter from a set of linkages between configuration parameters and metrics, wherein the set of linkages between configuration parameters and metrics are stored in a knowledgebase.
13. The method of claim 12 , wherein the set of linkages between configuration parameters and metrics are sourced from a set of data collection meta data.
14. The method of claim 12 , wherein the set of linkages between configuration parameters and metrics are pre-configured.
15. The method of claim 11 , wherein the act of adjusting the baseline using the at least one baseline rescaling formula comprises recalculating the baseline by applying one of the at least one baseline rescaling formula, wherein the one of the at least one baseline rescaling formula is a mathematical formula that includes dividing an existing configuration parameter value by a new configuration parameter value to obtain a value, and multiplying the value by an existing baseline value.
16. The method of claim 11 , wherein the act of rescaling the baseline comprises:
discarding baseline values prior to the detected change in the configuration parameter; and
recalculating the baseline using data collected after the detected change in the configuration parameter.
17. The method of claim 11 , wherein the act of rescaling the baseline comprises increasing baseline calculation speed.
18. A programmable storage device having programmed instructions stored thereon for causing a programmable control device to perform a method according to claim 11 .
19. A performance monitoring system, comprising:
a processor;
an operator display, coupled to the processor;
a storage subsystem, coupled to the processor; and
a software, stored by the storage subsystem, comprising instructions that when executed by the processor cause the processor to perform the method of claim 1 .
20. A networked computer system comprising:
a plurality of computers communicatively coupled, at least one of the plurality of computers programmed to perform at least a portion of the method of claim 1 wherein the entire method of claim 1 is performed collectively by the plurality of computers.