Epoch data interface

• US 10,616,072 B1
• Filed: 07/27/2018
• Issued: 04/07/2020
• Est. Priority Date: 07/27/2018
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Lo, Chien-Ju, Chen, Bill YuFan, Ponnuswamy, Kannan, Raghavan, Kollivakkam, Yadav, Navneet, Vyas, Manvesh
• Primary Examiner(s): Higa, Brendan Y
• Application Number:
  US16/047,817
• Time in Patent Office: 620 Days
• CPC Class Codes: H04L 41/0631 using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
• CPC Class Codes: H04L 41/064 involving time analysis
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/14 Network analysis or design
• CPC Class Codes: H04L 41/142 using statistical or mathematical methods
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/16 using machine learning or artificial intelligence
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 41/40 using virtualisation of network functions or resources, e.g. SDN or NFV entities
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 43/067 using time frame reporting
• CPC Class Codes: H04L 43/0817 by checking functioning

Abstract

Systems, methods, and devices are disclosed for generating an interface configured to display status information for network elements on a network. In embodiments, one or more logical models of the network are obtained from at least one of a plurality of controllers on a network. Network statistics are determined based on network traffic. Based on the one or more logical models and the network statistics, a topology of the network and respective status information of one or more network elements during an epoch is identified, the epoch defining a time interval. A user interface is generated that displays the respective status information in a timeline comprising one or more of the epochs.

Claims

1. A non-transitory computer readable medium comprising instructions stored thereon that, when executed by one or more processors, cause the one or more processors to:

obtain, from at least one of a plurality of controllers on a network, one or more logical models of the network, the one or more logical models comprising configurations of one or more objects defined for the network;

determine network statistics based on network traffic;

identify, based on the one or more logical models and the network statistics, a topology of the network and respective status information of one or more network elements during an epoch, the epoch defining a time interval; and

generate a user interface displaying the respective status information in a timeline comprising one or more of the epochs.

2. The non-transitory computer readable medium of claim 1, wherein the epoch and a type of the data is customized by user input.

3. The non-transitory computer readable medium of claim 2, storing additional instructions which, when executed by the one or more processors, cause the one or more processors to:

receive, from user input, a metric associated with the type of data, wherein the logical model determines the respective status based on the metric.

4. The non-transitory computer readable medium of claim 1, storing additional instructions which, when executed by the one or more processors, cause the one or more processors to:

classify the respective status information into a type of error;

aggregate all objects from the network associated with the type of error; and

display the aggregation of the type of error, wherein the display comprises an option to view a number of instances the type of error occurred during the epoch.

5. The non-transitory computer readable medium of claim 1, storing additional instructions which, when executed by the one or more processors, cause the one or more processors to:

classify the respective status as a type of error;

determine an action to recommend based on the type of error; and

provide an option configured to display the action.

6. The non-transitory computer readable medium of claim 5, storing additional instructions which, when executed by the one or more processors, cause the one or more processors to:

generate a report based on the respective status information, the report comprising the type of error and the recommended action, wherein the report enables a user to modify at least one of a range of epochs included in the report or a number of instances aggregated in the report.

7. The non-transitory computer readable medium of claim 1, wherein the data is received from a collection file associated with a timestamp defining the epoch, the non-transitory computer readable medium storing additional instructions which, when executed by the one or more processors, cause the one or more processors to:

analyze the collection file to identify the respective status information of the one or more objects from the network during the timestamp;

determine an action to recommend based on the respective status information; and

provide an option configured to display the action.

8. A system comprising:

one or more processors; and

at least one computer-readable storage medium having stored therein instructions which, when executed by the one or more processors, cause the system to;

obtain, from at least one of a plurality of controllers on a network, one or more logical models of the network, the one or more logical models comprising configurations of one or more objects defined for the network;

determine network statistics based on network traffic;

identify, based on the one or more logical models and the network statistics, a topology of the network and respective status information of one or more network elements during an epoch, the epoch defining a time interval; and

generate a user interface displaying the respective status information in a timeline comprising one or more of the epochs.

9. The system of claim 8, wherein the epoch and a type of the data is customized by user input.

10. The system of claim 9, the at least one computer-readable storage medium storing instructions which, when executed by the one or more processors, cause the system to:

receive, from user input, a metric associated with the type of data, wherein the logical model determines the respective status based on the metric.

11. The system of claim 8, the at least one computer-readable storage medium storing instructions which, when executed by the one or more processors, cause the system to:

classify the respective status information into a type of error;

aggregate all objects from the network associated with the type of error; and

display the aggregation of the type of error, wherein the display comprises an option to view a number of instances the type of error occurred during the epoch.

12. The system of claim 8, the at least one computer-readable storage medium storing instructions which, when executed by the one or more processors, cause the system to:

classify the respective status as a type of error;

determine an action to recommend based on the type of error; and

provide an option configured to display the action.

13. The system of claim 8, the at least one computer-readable storage medium storing instructions which, when executed by the one or more processors, cause the system to:

generate a report based on the respective status information, the report comprising the type of error and the recommended action, wherein the report enables a user to modify at least one of a range of epochs included in the report or a number of instances aggregated in the report.

14. The system of claim 8, wherein the data is received from a collection file associated with a timestamp defining the epoch, the at least one computer-readable storage medium storing instructions which, when executed by the one or more processors, cause the system to:

analyze the collection file to identify the respective status information of the one or more objects from the network during the timestamp;

determine an action to recommend based on the respective status information; and

provide an option configured to display the action.

15. A method comprising:

obtaining, from at least one of a plurality of controllers on a network, one or more logical models of the network, the one or more logical models comprising configurations of one or more objects defined for the network;

determining network statistics based on network traffic;

identifying, based on the one or more logical models and the network statistics, a topology of the network and respective status information of one or more network elements during an epoch, the epoch defining a time interval; and

generating a user interface displaying the respective status information in a timeline comprising one or more of the epochs.

16. The method of claim 15, wherein the epoch and a type of the data is customized by user input.

17. The method of claim 16, the method further comprising receiving, from user input, a metric associated with the type of data, wherein the logical model determines the respective status based on the metric.

18. The method of claim 15, the method further comprising:

classifying the respective status information into a type of error;

aggregating all objects from the network associated with the type of error; and

displaying the aggregation of the type of error, wherein the display comprises an option to view a number of instances the type of error occurred during the epoch.

19. The method of claim 15, the method further comprising:

classifying the respective status as a type of error;

determining an action to recommend based on the type of error; and

providing an option configured to display the action.

20. The method of claim 15, wherein the data is received from a collection file associated with a timestamp defining the epoch, the method further comprising:

analyzing the collection file to identify the respective status information of the one or more objects from the network during the timestamp;

determining an action to recommend based on the respective status information; and

providing an option configured to display the action.