Distributed computing of large data by selecting a computational resource of a remote server based on selection policies and data information wherein the selections policies are associated with location constraints, time constraints, and data type constraints

• US 10,616,340 B2
• Filed: 02/23/2018
• Issued: 04/07/2020
• Est. Priority Date: 02/23/2018
• Status: Active Grant

• Current Assignee: Standard Cognition Corp.
• Original Assignee: Standard Cognition Corp.
• Inventors: Kallakuri, Nagasrikanth, Goel, Akshay, Dadlani, Tushar
• Primary Examiner(s): Murray, Daniel C.
• Application Number:
  US15/904,281
• Publication Number:
  US 20190268416A1
• Time in Patent Office: 774 Days
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 41/0894 Policy-based network configuration management
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Abstract

The technology disclosed allows for remote distributed computing and storage of data obtained from one or more client devices. Specifically, the technology disclosed is capable of receiving, at the client device, data from at least one data source. The technology discloses is also capable of determining, at the client device, data information associated with the data from the at least one data source, selecting a computation resource from a plurality of computation resources based on one or more selection policies, where the selection policies are associated with one or more of location constraints, time constraints, and data type constraints and sending the data from the client device to the selected computation resource for processing.

Claims

1. A system comprising:

a client device including one or more processors; and

logic encoded in one or more non-transitory computer-readable storage media for execution by the one or more processors and when executed operable to perform operations comprising;

receiving, at the client device, data from at least one data source;

determining, at the client device, data information associated with the data from the at least one data source;

selecting a computation resource of a remote server from a plurality of computation resources of remote servers, the computation resource of the remote server being selected based on two or more selection policies and the data information, wherein the two or more selection policies are associated with two or more of location constraints related to the remote servers, time constraints associated with the data, and data type constraints related to the remote servers; and

sending the data from the client device to the selected computation resource of the remote server for processing.

2. The system of claim 1, wherein the data from the at least one data source includes photos, and wherein the at least one data source is a camera.

3. The system of claim 1, wherein the data from the at least one data source includes sensor data, and wherein the at least one data source is a sensor.

4. The system of claim 1, wherein the data information comprises location information associated with the at least one data source.

5. The system of claim 1, wherein the data information comprises time information associated with the at least one data source.

6. The system of claim 1, wherein the data information comprises a type of file in which the data is stored.

7. The system of claim 1, wherein at least one selection policy is to select a computation resource based on the location of the at least one data source.

8. The system of claim 1, wherein at least one selection policy is to select a computation resource based on one or more characteristics of the computation resource.

9. The system of claim 1, the operations further comprising:

receiving a notification that the selected computation resource of the remote server is running low on storage capacity or is becoming overloaded with computational demands;

selecting another computation resource of another remote server that satisfies the two or more selection policies associated with two or more of the location constraints of the remote servers, the time constraints associated with the data, and the data type constraints of the remote servers; and

sending at least a portion of the data from the client device to the other selected computation resource.

10. A non-transitory computer-readable storage medium with program instructions stored thereon, the instructions when executed by one or more processors cause the one or more processors to perform operations comprising:

receiving, at a client device, data from at least one data source;

determining, at the client device, data information associated with the data from the at least one data source;

selecting a computation resource of a remote server from a plurality of computation resources of remote servers, the computation resource of the remote server being selected based on two or more selection policies and the data information, wherein the two or more selection policies are associated with two or more of location constraints related to the remote servers, time constraints associated with the data, and data type constraints related to the remote servers; and

sending the data from the client device to the selected computation resource of the remote server for processing.

11. The non-transitory computer-readable storage medium of claim 10, wherein the data from the at least one data source includes photos, and wherein the at least one data source is a camera.

12. The non-transitory computer-readable storage medium of claim 10, wherein the data from the at least one data source includes sensor data, and wherein the at least one data source is a sensor.

13. The non-transitory computer-readable storage medium of claim 10, wherein the data information comprises location information associated with the at least one data source.

14. The non-transitory computer-readable storage medium of claim 10, wherein the data information comprises time information associated with the at least one data source.

15. The non-transitory computer-readable storage medium of claim 10, wherein the data information comprises a type of file in which the data is stored.

16. The non-transitory computer-readable storage medium of claim 10, wherein at least one selection policy is to select a computation resource based on the location of the at least one data source.

17. The non-transitory computer-readable storage medium of claim 10, wherein at least one selection policy is to select a computation resource based on one or more characteristics of the computation resource.

18. A computer-implemented method comprising:

receiving, at a client device, data from at least one data source;

determining, at the client device, data information associated with the data from the at least one data source;

selecting a computation resource of a remote server from a plurality of computation resources of remote servers, the computation resource of the remote server being selected based on two or more selection policies and the data information, wherein the two or more selection policies are associated with two or more of location constraints related to the remote servers, time constraints associated with the data, and data type constraints related to the remote servers; and

sending the data from the client device to the selected computation resource of the remote server for processing.

19. The computer-implemented method of claim 18, wherein the data from the at least one data source includes photos, and wherein the at least one data source is a camera.

20. The computer-implemented method of claim 18, wherein the data from the at least one data source includes sensor data, and wherein the at least one data source is a sensor.

21. The computer-implemented method of claim 18, wherein the data information comprises location information associated with the at least one data source.