Network migration assistant

• US 10,554,501 B2
• Filed: 10/23/2017
• Issued: 02/04/2020
• Est. Priority Date: 10/23/2017
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Parandehgheibi, Ali, Kulshreshtha, Ashutosh, Watts, Michael, Yadav, Navindra, Jeyakumar, Vimal
• Primary Examiner(s): Chan, Wing F
• Assistant Examiner(s): Maniwang, Joseph R
• Application Number:
  US15/790,412
• Publication Number:
  US 20190123972A1
• Time in Patent Office: 834 Days
• Field of Search: 709224
• CPC Class Codes: G06F 9/4856 resumption being on a different machine, e.g. task migration, virtual machine migration G06F9/5088 takes precedence
• 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 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 41/0897 by horizontal or vertical scaling of resources, or by migrating entities, e.g. virtual resources or entities
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 41/5025 by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
• CPC Class Codes: H04L 41/5096 wherein the managed service relates to distributed or central networked applications

Abstract

The disclosed technology relates to assisting with the migration of networked entities. A system may be configured to collect operations data for a service from at least one endpoint host in a network, calculate at least one metric for the service based on the operations data, retrieve a migration configuration and platform data for a target platform, generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data, and provide the predicted cost for the migration configuration to a user.

Claims

1. A method comprising:

collecting operations data for a service from at least one sensor deployed in an endpoint host executing the service in a network, the operations data comprising traffic flow information related to the endpoint host;

calculating at least one metric for the service based on the operations data, wherein the at least one metric comprises one or more of average values, maximum values, minimum values, or trends related to the operations data;

retrieving a migration configuration and platform data for a target platform;

generating a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data; and

providing the predicted cost for the migration configuration to a user.

2. The method of claim 1, further comprising:

calculating a current cost of a current configuration;

generating a comparison between the current cost of the current configuration and the predicted cost for the migration configuration; and

providing the comparison to the user.

3. The method of claim 1, wherein the migration configuration is received from a network administrator.

4. The method of claim 1, further comprising generating the migration configuration based on at least the operations data and the platform data.

5. The method of claim 1, wherein the operations data further comprises at least one of an amount of data transferred by the service, an amount of data received by the service, an amount of processor time needed by the service, an amount of memory needed for the service, an amount of storage needed for the service, a number of endpoint hosts on which the service runs, or specifications of the endpoint hosts on which the service runs.

6. The method of claim 1, wherein the platform data comprises at least one of location, pricing information, features, specifications for endpoint hosts, or platform options.

7. The method of claim 1, further comprising providing a recommended configuration for a migration based on the predicted cost for the migration configuration.

8. The method of claim 7, wherein the recommended configuration is the migration configuration.

9. The method of claim 1, further comprising:

calculating a performance metric for the migration configuration based on the operations data and the platform data; and

providing the performance metric for the migration configuration to the user.

10. The method of claim 1, wherein the operations data is generated by sensors at the at least one endpoint host.

11. The method of claim 1, wherein the endpoint host is one of a virtual machine, a container, a computing device.

12. A non-transitory computer-readable medium comprising instructions, the instructions, when executed by a computing system, cause the computing system to:

collect operations data for a service from at least one sensor deployed in an endpoint host executing the service in a network, the operations data comprising traffic flow information related to the endpoint host;

calculate at least one metric for the service based on the operations data, wherein the at least one metric comprises one or more of average values, maximum values, minimum values, or trends related to the operations data;

retrieve a migration configuration and platform data for a target platform;

generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data; and

provide the predicted cost for the migration configuration to a user.

13. The non-transitory computer-readable medium of claim 12, wherein the instructions further cause the computing system to:

calculate a current cost of a current configuration;

generate a comparison between the current cost of the current configuration and the predicted cost for the migration configuration; and

provide the comparison to a network administrator.

14. The non-transitory computer-readable medium of claim 12, wherein the instructions further cause the computing system to generate the migration configuration based on at least the operations data and the platform data.

15. A system comprising:

a processor; and

a non-transitory computer-readable medium storing instructions that, when executed by the system, cause the system to;

collect operations data for a service from at least one sensor deployed in an endpoint host executing the service in a network, the operations data comprising traffic flow information related to the endpoint host;

calculate at least one metric for the service based on the operations data, wherein the at least one metric comprises one or more of average values, maximum values, minimum values, or trends related to the operations data;

retrieve a migration configuration and platform data for a target platform;

generate a predicted cost for the second configuration based on the migration configuration, the at least one metric, and the platform data; and

provide the predicted cost for the migration configuration to a user.

16. The system of claim 15, wherein the instructions further cause the system to:

calculate a current cost of a current configuration;

generate a comparison between the current cost of the current configuration and the predicted cost for the migration configuration; and

provide the comparison to the user.

17. The system of claim 15, wherein the migration configuration is received from a network administrator.

18. The system of claim 15, wherein the instructions further cause the system to generate the migration configuration based on at least the operations data and the platform data.

19. The system of claim 15, wherein the instructions further cause the system to:

calculate a performance metric for the migration configuration based on the operations data and the platform data; and

provide the performance metric for the migration configuration to the user.