Multiple configuration item status value analysis

Patent metadata

Field	Value
Publication number	US-9262295-B2
Application number	US-77485907-A
Country	US
Kind code	B2
Filing date	Jul 9, 2007
Priority date	Jul 9, 2007
Publication date	Feb 16, 2016
Grant date	Feb 16, 2016

Abstract

Embodiments of the present invention provide a method, system and computer program product for configuration item (CI) status value analysis for multiple performance monitors. In one embodiment of the invention, a multi-CI analysis method can be provided. The method can include weighting different CI status values produced by different performance monitors for a single resource in a monitored computing system and displaying selected ones of the weighted different CI status values according to relevance determined by weight. In one aspect of the embodiment, weighting different CI status values produced by different performance monitors for a single resource in a monitored computing system can include locating the different CI status values for the single resource in a configuration management database (CMDB), identifying the different performance monitors producing the different CI status values in the CMDB and applying weights to the different CI status values according to CI status value characteristics.

First claim

We claim:

1. A method of analyzing multiple configuration item (CI) status values comprising:
selecting a CI in a monitored computing system;
obtaining different CI status values for the selected CI produced by different performance monitors;
weighting the different CI status values for the selected CI according to predetermined factors by identifying conflicting ones of the different CI status values for the selected CI and weighting more heavily the conflicting ones of the different CI status values; and,
displaying selected ones of the weighted different CI status values according to relevance determined by weight.

2. The method of claim 1 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
locating the different CI status values for the selected CI in a configuration management database (CMDB); and,
identifying the different performance monitors producing the different CI status values in the CMDB.

3. The method of claim 1 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
determining a class of CI associated with each of the different CI status values;
identifying a specialization for each of the performance monitors; and,
weighting more heavily the different CI status values produced by performance monitors specializing in monitoring resources for the class of the selected CI.

4. The method of claim 1 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
determining a time of observation for the different CI status values; and,
weighting more heavily one of the different CI status values in a causal relationship with another of the different CI status values determined from different times of observation for the different CI status values.

5. The method of claim 1 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
detecting both aberrant and nominal states reflected by the different CI status values; and,
weighting more heavily different CI status values associated with the aberrant states.

6. The method of claim 1 , wherein displaying selected ones of the weighted different CI status values according to relevance determined by weight, comprises displaying selected ones of the weighted different CI status values according to relevance determined by weight in addition to a composition of the different CI status values.

7. The method of claim 3 , wherein determining the class of CI associated with each of the different CI status values includes classifying the selected CI according to resource type.

8. A performance monitoring data processing system for analyzing multiple configuration item (CI) status values comprising:
A hardware processor configured to:
select a CI in a monitored computing system;
obtain different CI status values for the selected CI produced by different performance monitors;
weight the different CI status values for the selected CI according to predetermined factors by identifying conflicting ones of the different CI status values for the selected CI and weighting more heavily the conflicting ones of the different CI status values; and,
display selected ones of the weighted different CI status values according to relevance determined by weight.

9. The system of claim 8 , further comprising a configuration management database (CMDB) storing different CI status values for corresponding CIs, each CI associated with a different resource in the monitored system.

10. The system of claim 9 , wherein the CIs each are associated with at least one of a central processing unit (CPU), a network interface, a fixed storage and a database management system (DBMS).

11. The system of claim 9 , wherein the different CI status values produced by the different performance monitors for the selected CI are weighted according to predetermined factors, the predetermined factors indicating an aberrant condition for the selected CI, conflicting different CI status values for the selected CI, different CI status values in a causal relationship with one another, and different CI status values produced by corresponding ones of the performance monitors specializing in monitoring resources classified similarly to the selected CI.

12. A computer program product comprising a non-transitory computer usable storage having stored therein computer usable program code for multi-configuration item (CI) analysis, the computer usable program code, which when executed by a computer hardware system, causes the computer hardware system to perform:
selecting a CI in a monitored computing system;
obtaining different CI status values for the selected CI produced by different performance monitors;
weighting the different CI status values for the selected CI according to predetermined factors by identifying conflicting ones of the different CI status values for the selected CI and weighting more heavily the conflicting ones of the different CI status values; and,
displaying selected ones of the weighted different CI status values according to relevance determined by weight.

13. The computer program product of claim 12 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
locating the different CI status values for the selected CI in a configuration management database (CMDB); and,
identifying the different performance monitors producing the different CI status values in the CMDB.

14. The computer program product of claim 12 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
determining a class of CI associated with each of the different CI status values;
identifying a specialization for each of the performance monitors; and
weighting more heavily different CI status values produced by performance monitors specializing in monitoring resources for the class of CI.

15. The computer program product of claim 12 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
determining a time of observation for the different CI status values; and,
weighting more heavily one of the different CI status values in a causal relationship with another of the different CI status values determined from different times of observation for the different CI status values.

16. The computer program product of claim 12 , wherein weighting the different CI status values for the selected CI according to predetermined factors further comprises:
detecting both aberrant and nominal states reflected by the different CI status values; and,
weighting more heavily different CI status values associated with the aberrant states.

17. The computer program product of claim 12 , wherein
the selected ones of the weighted different CI status values are displayed according to a composition of the different CI status values.

18. The method of claim 7 , wherein the resource type is one of a network interface, a database server, a central processing unit, and a fixed storage.

19. The computer program product of claim 14 , wherein determining the class of CI associated with each of the different CI status values includes classifying the selected CI according to resource type.

20. The computer program product of claim 19 , wherein the resource type

Assignees

• Coley Brett A
• Joshi Niraj
• Riley Wayne B
• IBM

Inventors

• Coley Brett A
• Joshi Niraj
• Riley Wayne B

Classifications

• G06F11/3409 Primary

  for performance assessment · CPC title

• G06F11/3452

  Performance evaluation by statistical analysis · CPC title

• G06F11/3466 Primary

  Performance evaluation by tracing or monitoring · CPC title

• H04L41/0823 Primary

  characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability (for optimising operational conditions of wireless networks H04W24/02) · CPC title

• H04L43/04

  Processing captured monitoring data, e.g. for logfile generation · CPC title