Network migration assistant

Patent metadata

Field	Value
Publication number	US-11044170-B2
Application number	US-202016778515-A
Country	US
Kind code	B2
Filing date	Jan 31, 2020
Priority date	Oct 23, 2017
Publication date	Jun 22, 2021
Grant date	Jun 22, 2021

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.

First claim

The invention claimed is:

1. A method comprising:
collecting operations data for a service from at least one endpoint host executing the service in a network, the operations data comprising data flow information associated with the service from the at least one endpoint host;
calculating at least one metric for the service based on the operations data, the at least one metric comprising trends of the data flow information;
retrieving a migration configuration and platform data for a target platform;
calculating a latency metric for the migration configuration based on the data flow information of the operations data, the at least one metric including the trends of the data flow information, and the platform data; and
providing the latency metric for the migration configuration to a user.

2. The method of claim 1 , further comprising:
calculating a current performance of a current configuration;
generating a comparison between the current performance of the current configuration and the latency metric 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 , 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.

5. 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.

6. The method of claim 1 , further comprising providing a recommended configuration for a migration based on the latency metric for the migration configuration.

7. The method of claim 6 , wherein the recommended configuration is the migration configuration.

8. The method of claim 1 , further comprising:
calculating a predicted cost for the migration configuration based on the operations data and the platform data; and
providing the predicted cost for the migration configuration to the user.

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

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

11. 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 endpoint host executing the service in a network, the operations data comprising data flow information associated with the service from the at least one endpoint host;
calculate at least one metric for the service based on the operations data, the at least one metric comprising trends of the data flow information;
retrieve a migration configuration and platform data for a target platform;
calculate a latency metric for the migration configuration based on the data flow information of the operations data, the at least one metric including the trends of the data flow information, and the platform data; and
provide the latency metric for the migration configuration to a user.

12. The non-transitory computer-readable medium of claim 11 , wherein the instructions further cause the computing system to:
calculate a current performance of a current configuration;
generate a comparison between the current performance of the current configuration and the latency metric for the migration configuration; and
provide the comparison to the user.

13. The non-transitory computer-readable medium of claim 11 , 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.

14. 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 endpoint host executing the service in a network, the operations data comprising data flow information associated with the service from the at least one endpoint host;
calculate at least one metric for the service based on the operations data, the at least one metric comprising trends of the data flow information;
retrieve a migration configuration and platform data for a target platform;
calculate a latency metric for the migration configuration based on the data flow information of the operations data, the at least one metric including the trends of the data flow information, and the platform data; and
provide the latency metric for the migration configuration to a user.

15. The system of claim 14 , wherein the instructions further cause the system to:
calculate a current performance of a current configuration;
generate a comparison between the current performance of the current configuration and the latency metric for the migration configuration; and
provide the comparison to the user.

16. The system of claim 14 , wherein the migration configuration is received from a network administrator.

17. The system of claim 14 , wherein the instructions further cause the system to generate the migration configuration based on at least the operations data and the platform data.

18. The system of claim 14 , wherein the instructions further cause the system to:
calculate a predicted cost for the migration configuration based on the operations data and the platform data; and
provide the predicted cost for the migration configuration to the user.

Assignees

• Cisco Tech Inc

Inventors

• Parandehgheibi Ali
• Kulshreshtha Ashutosh
• Watts Michael
• Yadav Navindra
• Jeyakumar Vimal

Classifications

• H04L41/147

  for predicting network behaviour · CPC title

• H04L41/0897

  by horizontal or vertical scaling of resources, or by migrating entities, e.g. virtual resources or entities · CPC title

• H04L41/5025

  by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade · CPC title

• H04L41/145 Primary

  involving simulating, designing, planning or modelling of a network · CPC title

• G06F9/4856

  resumption being on a different machine, e.g. task migration, virtual machine migration (G06F9/5088 takes precedence) · CPC title