Granted Patent B2

US 10,956,460 · App. 16/297,174 · Granted Mar 23, 2021

Inventors: Bhushan Pandit (Maharashtra, IN); Andrew James Nash (Reading, GB)

Assignee: Veritas Technologies LLC

G06F16/316

Abstract

Claims (93)

1. A computer-implemented method for configuration management comprising:

retrieving data for configuration management;

determining whether the retrieved data is unstructured data;

in response to a determination that the retrieved data is unstructured data, determining whether the unstructured data is hierarchically organized unstructured data (HOUD); and

in response to a determination that the unstructured data is HOUD,

defining an associative template based on a hierarchical structure of nodes of the HOUD, wherein

the associative template includes configuration dimensions associated with corresponding nodes of the HOUD.

2. The method of claim 1 , further comprising:

in response to a determination that the unstructured data is not HOUD, organizing the unstructured data into HOUD, and

subsequent to the organizing, defining the associative template.

3. The method of claim 2 , wherein the organizing comprises:

determining a source of common characteristics for the unstructured data, wherein the unstructured data comprises a plurality of data items;

in response a determination that the source of common characteristics is the unstructured data, analyzing the unstructured data to identify one or more common characteristics of the unstructured data;

creating a hierarchical organization that represents one or more hierarchical associations between one or more data items of the plurality of data items in the unstructured data; and

organizing the unstructured data into HOUD, wherein

the organizing uses the hierarchical organization.

4. The method of claim 2 , wherein the organizing comprises:

determining a source of common characteristics for the unstructured data, wherein the unstructured data comprises a plurality of data items;

in response a determination that the source of common characteristics comprises one or more pre-defined characteristics, retrieving one or more common characteristics of the unstructured data from storage;

creating a hierarchical organization that represents one or more hierarchical associations between one or more data items of the plurality of data items in the unstructured data; and

organizing the unstructured data into HOUD, wherein

the organizing uses hierarchical organization.

5. The method of claim 1 , wherein the defining the associative template further comprises:

retrieving configuration dimensions from common characteristics, and

retrieving hierarchical organization from an analysis of the unstructured data.

6. The method of claim 1 , wherein the defining the associative template further comprises:

creating a node of the associative template, and

setting a name of the node of the associative template, wherein the name of the node of the associative template is substantially similar to the name of the corresponding node of the HOUD.

7. The method of claim 1 , wherein the defining the associative template further comprises:

selecting a configuration dimension of the associative template,

determining a parameter value associated with the configuration dimension, and

setting the configuration dimension to a corresponding parameter value.

8. A non-transitory computer readable storage medium comprising program instructions executable to perform a method comprising:

retrieving data for configuration management;

determining whether the retrieved data is unstructured data;

in response to a determination that the retrieved data is unstructured data, determining whether the unstructured data is hierarchically organized unstructured data (HOUD); and

in response to a determination that the unstructured data is HOUD, defining an associative template based on a hierarchical structure of nodes of the HOUD, wherein

the associative template includes configuration dimensions associated with corresponding nodes of the HOUD.

9. The non-transitory computer readable storage medium of claim 8 , wherein the method further comprises:

in response to a determination that the unstructured data is not HOUD, organizing the unstructured data into HOUD, and

subsequent to the organizing, defining the associative template.

10. The non-transitory computer readable storage medium of claim 9 , wherein the organizing comprises:

determining a source of common characteristics for the unstructured data, wherein the unstructured data comprises a plurality of data items;

in response a determination that the source of common characteristics is the unstructured data, analyzing the unstructured data to identify one or more common characteristics of the unstructured data;

creating a hierarchical organization that represents one or more hierarchical associations between one or more data items of the plurality of data items in the unstructured data; and

organizing the unstructured data into HOUD, wherein

the organizing uses the hierarchical organization.

11. The non-transitory computer readable storage medium of claim 9 , wherein the organizing comprises:

determining a source of common characteristics for the unstructured data, wherein the unstructured data comprises a plurality of data items;

in response a determination that the source of common characteristics comprises one or more pre-defined characteristics, retrieving one or more common characteristics of the unstructured data from storage;

creating a hierarchical organization that represents one or more hierarchical associations between one or more data items of the plurality of data items in the unstructured data; and

organizing the unstructured data into HOUD, wherein

the organizing uses hierarchical organization.

12. The non-transitory computer readable storage medium of claim 8 , wherein the defining the associative template further comprises:

retrieving configuration dimensions from common characteristics, and

retrieving hierarchical organization from an analysis of the unstructured data.

13. The non-transitory computer readable storage medium of claim 8 , wherein the defining the associative template further comprises:

creating a node of the associative template, and

setting a name of the node of the associative template, wherein the name of the node of the associative template is substantially similar to the name of the corresponding node of the HOUD.

14. The non-transitory computer readable storage medium of claim 8 , wherein the defining the associative template further comprises:

selecting a configuration dimension of the associative template,

determining a parameter value associated with the configuration dimension, and

setting the configuration dimension to a corresponding parameter value.

15. A system comprising:

one or more processors; and

a computer-readable storage medium coupled to the one or more processors, wherein the computer-readable storage medium stores program instructions executable by the one or more processors to perform a method comprising:

retrieving data for configuration management;

determining whether the retrieved data is unstructured data;

determining whether the unstructured data is hierarchically organized unstructured data (HOUD); and

in response to a determination that unstructured data is HOUD, defining an associative template based on a hierarchical structure of nodes of the HOUD, wherein

the associative template includes configuration dimensions associated with corresponding nodes of the HOUD.

16. The system of claim 15 , wherein the method further comprises:

in response to a determination that the unstructured data is not HOUD, organizing the unstructured data into HOUD, and

subsequent to the organizing, defining the associative template.

17. The system of claim 16 , wherein the organizing comprises:

determining a source of common characteristics for the unstructured data, wherein the unstructured data comprises a plurality of data items;

in response a determination that the source of common characteristics is the unstructured data, analyzing the unstructured data to identify one or more common characteristics of the unstructured data;

creating a hierarchical organization that represents one or more hierarchical associations between one or more data items of the plurality of data items in the unstructured data; and

organizing the unstructured data into HOUD, wherein

the organizing uses the hierarchical organization.

18. The system of claim 16 , wherein the organizing comprises:

determining a source of common characteristics for the unstructured data, wherein the unstructured data comprises a plurality of data items;

in response a determination that the source of common characteristics comprises one or more pre-defined characteristics, retrieving one or more common characteristics of the unstructured data from storage;

creating a hierarchical organization that represents one or more hierarchical associations between one or more data items of the plurality of data items in the unstructured data; and

organizing the unstructured data into HOUD, wherein

the organizing uses hierarchical organization.

19. The system of claim 15 , wherein the defining the associative template further comprises:

retrieving configuration dimensions from common characteristics, and

retrieving hierarchical organization from an analysis of the unstructured data.

20. The system of claim 15 , wherein the defining the associative template further comprises:

selecting a configuration dimension of the associative template,

determining a parameter value associated with the configuration dimension, and

setting the configuration dimension to the parameter value.

Assignments (13)

Priority Claims (1)

Continuity (2)