CONFIGURATION ENTITY RATING

• US 20200136905A1
• Filed: 10/30/2018
• Published: 04/30/2020
• Est. Priority Date: 10/30/2018
• Status: Abandoned Application

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Inventors: Chudasma, Nrupenbhai Dilipbhai, Patel, Parshadkumar Shardulkumar, Pathiyarathodi, Vinay Sreekumar, Vasantha, Vinayaka Naik, Balasubramanian, Vivek, Patel, Harsh
• Application Number:
  US16/174,637
• Publication Number:
  US 20200136905A1
• Time in Patent Office: Days
• CPC Class Codes: H04L 41/0823 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 Class Codes: H04L 41/0843 based on generic templates
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 41/0894 Policy-based network configuration management

Abstract

A method may include identifying a plurality of constraints corresponding to a plurality of configuration entities comprising at least a first configuration entity and a second configuration entity. The plurality of constraints can match particular configuration values for the plurality of configuration entities. The method may further include assigning rating values to constraints that match the particular configuration values. The rating values can be based on an importance criterion corresponding to the first configuration entity and the second configuration entity respectively. The method can further include generating a configuration scoring and ranking template comprising information corresponding to the plurality of constraints and the particular configuration values and assigning the first configuration entity to a first network category and the second configuration entity to a second and different network category. The first and second network categories can have different rating values assigned to the constraints that match the particular configuration values.

Claims

1. A method, comprising:

identifying a plurality of constraints corresponding to a plurality of configuration entities comprising at least a first configuration entity and a second configuration entity, wherein the plurality of constraints that match particular configuration values for the plurality of configuration entities;

assigning rating values to constraints that match the particular configuration values, wherein the rating values are based, at least in part, on an importance criterion corresponding to the first configuration entity and the second configuration entity respectively;

generating a configuration scoring and ranking template comprising information corresponding to the plurality of constraints and the particular configuration values; and

assigning the first configuration entity to a first network class and the second configuration entity to a second and different network class, wherein the first and second network classes have different rating values assigned to the constraints that match the particular configuration values.

2. The method of claim 1, further comprising generating an optimized network configuration based, at least in part, on the weighted scores for the configuration values.

3. The method of claim 1, further comprising generating weighted scores for the configuration values, based at least in part, on the rating values for particular configuration values.

4. The method of claim 1, wherein at least one of the first network class is a network category and the second network class is a network sub-category.

5. The method of claim 1, further comprising configuring a network comprising the configuration entities to achieve a threshold network security level based, at least in part, on the weighted scores for the configuration values.

6. The method of claim 1, further comprising:

generating different weighted scores based on different rating values for particular configuration values; and

comparing the different weighted scores to the weighted scores to determine an optimized network configuration.

7. The method of claim 6, ranking the weighted scores based, at least in part, on a quality of network performance associated with rating values corresponding to respective configuration entities.

8. An apparatus, comprising:

a configuration component provisioned with processing resources, the configuration component to cause;

a plurality of constraints corresponding to a plurality of configuration entities to be determined;

a determination to be made that a constraint matches a configuration value associated with the plurality of configuration entities;

rating values to be assigned to the configuration values, wherein the rating values are based, at least in part, on the determination that the constraint matches the configuration values and an importance criterion corresponding to respective configuration entities among the plurality of configuration entities; and

configuration scores to be generated for the plurality of configuration entities, wherein the configuration scores are based, at least in part, on the rating values.

9. The apparatus of claim 8, wherein the plurality of configuration entities comprise network devices, network groups, or combinations thereof.

10. The apparatus of claim 8, wherein the configuration component is to cause generation of a configuration scoring and ranking template, and wherein the configuration scoring and ranking template comprises information corresponding to the plurality of constraints and the configuration values.

11. The apparatus of claim 10, wherein the configuration component is to cause the determination to be made that constraint matches the configuration value associated with the plurality of configuration entities based, at least in part, on application of the configuration scoring and ranking template.

12. The apparatus of claim 8, wherein the configuration score corresponds to a configuration score for categories of the plurality of configuration entities, sub-categories of the plurality of configuration entities, or combinations thereof.

13. The apparatus of claim 8, wherein the configuration score comprises a weighted average of the rating values assigned to the configuration values.

14. The apparatus of claim 8, wherein the configuration component is to generate an optimized network configuration based, at least in part, on the configuration scores.

15. The apparatus of claim 8, wherein the configuration component is to rank the configuration scores based, at least in part, on a quality of network performance associated with respective configuration entities among the plurality of configuration entities.

16. A non-transitory machine-readable medium storing instructions executable by a processing resource to cause a computing device to:

generate a configuration scoring and ranking template;

populate the configuration scoring and ranking template with configuration scores based on importance criteria corresponding to configuration entities in a network;

rank entries corresponding to configuration entities in the configuration scoring and ranking template based on the configuration scores; and

generate an optimized network configuration using the ranked entries in the configuration ranking and scoring template.

17. The medium of claim 16, wherein the instructions are further executable by the processing resource to cause the computing device to assign the configuration entities to categories or sub-categories of configuration entities based, at least in part, on a functionality associated with respective configuration entities among the configuration entities.

18. The medium of claim 17, wherein the instructions are further executable by the processing resource to cause the computing device to:

rank configuration entities assigned to the categories based on first criteria; and

rank configuration entities assigned to the sub-categories based on second criteria.

19. The medium of claim 16, wherein the instructions are further executable by the processing resource to cause the computing device to:

modify the configuration scoring and ranking template in response to a determination that a new configuration entity is added to the network; and

re-generate the optimized network configuration.

20. The medium of claim 16, wherein the instructions are further executable by the processing resource to cause the computing device to compare the ranked configuration scoring and ranking template to a different ranked configuration scoring and ranking template corresponding to the configuration entities to determine an average or a standard deviation between the ranked entries in the ranked configuration scoring and ranking template and the different ranked configuration scoring and ranking template.