Systems and methods for selecting folders for uploading to a cloud file system

• US 10,437,776 B1
• Filed: 05/18/2018
• Issued: 10/08/2019
• Est. Priority Date: 04/24/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Kilpatrick, Ian, Meyer, Cayden
• Primary Examiner(s): Singh, Amresh
• Application Number:
  US15/984,274
• Time in Patent Office: 508 Days
• Field of Search: None
• CPC Class Codes: G06F 16/119 Details of migration of file systems migration mechanisms in storage systems G06F3/0647
• CPC Class Codes: G06F 16/168 Details of user interfaces specifically adapted to file systems, e.g. browsing and visualisation, 2d or 3d GUIs query results presentation G06F16/156
• CPC Class Codes: G06F 16/1787 Details of non-transparently synchronising file systems
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• 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]
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Systems and methods are disclosed herein for selecting folders to upload to a cloud system. A plurality of folders on a client system is identified, where the plurality of folders is associated with metadata. A respective score for each folder in the plurality of folders is evaluated by applying a set of rules to the metadata. A subset of folders is selected from the plurality of folders based on the respective scores, and a recommendation is provided to upload the subset of folders to the cloud system.

Claims

1. A method comprising:

identifying, by at least one processor, a plurality of folders on a client system, wherein the folders are associated with metadata;

evaluating, by the processor, a score for each folder among the folders by applying a set of rules to the metadata, wherein the metadata comprises a depth of the folder among the folders, and wherein the set of rules is applied to the depth of the folder to evaluate the score of the folder, the depth of the folder among the folders corresponds to a number of subfolders within the folder;

selecting, by the processor, a first subset of the folders based on the score of each of the folders;

providing, by the processor via a user interface, a first user-selectable recommendation item to upload content of selected ones of the folders to a cloud system, wherein the provided first user-selectable recommendation item allows for user selection and deselection of each of the folders, and wherein each of the folders in the first subset is selected by default;

receiving, by the processor via the user interface, a user selection or deselection of one or more of the folders in the first user-selectable recommendation item to accept or modify the first user-selectable recommendation item to upload the content of the selected ones of the folders to the cloud system;

responsive to the receipt of the user selection or deselection of the first user-selectable recommendation item to accept or modify the first user-selectable recommendation item, uploading, by the processor, the content of the selected ones of the folders to the cloud system.

2. The method of claim 1, wherein selecting the first subset of the folders comprises selecting each of the folders where the score exceeds a first threshold, and wherein the evaluation of the score is inversely related to the depth of the folder.

3. The method of claim 2, further comprising:

selecting, by the processor, a second subset of the folders, wherein selecting the second subset of the folders comprises selecting each of the folders where the score is below a second threshold that is lower than the first threshold; and

providing, by the processor via the user interface, a second user-selectable recommendation item to not upload the second subset of the folders to the cloud system, wherein the provided second user-selectable recommendation item allows for user selection and deselection of each of the folders, and wherein each of the folders in the second subset is selected by default and each of the folders other than the second subset is not selected by default.

4. The method of claim 1, wherein the score for each folder in the folders is indicative of a likelihood that a user would select the folder to upload content of the folder to the cloud system.

5. The method of claim 1, wherein the set of rules is formed based on a machine learning technique and is trained on training data comprising existing cloud data in a cloud system, and wherein:

the training data expands by incorporating the user selection or deselection of the first user-selectable recommendation item to modify the first user-selectable recommendation item; and

the machine learning technique is updated when the training data expands by a predetermined threshold.

6. The method of claim 1, wherein the metadata to which the set of rules is applied for each folder in the folders comprises at least two of:

a size of the folder, a number of files in the folder, types of files in the folder, a number of document files in the folder, file data in the folder, content of files in the folder, a number of subfolders in the folder, and a frequency of accesses to files in the folder.

7. The method of claim 6, further comprising compressing one or more of the depth, the size, the number of files, the type, the number of document files, the file data, the content, the number of subfolders, or the frequency into a set of binary features that describe each folder in the folders.

8. A system comprising:

at least one memory that stores instructions, and

at least one processor configured to execute the instructions to;

identify a plurality of folders on a client system, wherein the folders are associated with metadata;

evaluate a score for each folder among the folders by application of a set of rules to the metadata, wherein the metadata comprises a depth of the folder among the folders, and wherein the set of rules is applied to the depth of the folder to evaluate the score of the folder, the depth of the folder among the folders corresponds to a number of subfolders within the folder;

select a first subset of the folders based on the score of each of the folders;

provide, via a user interface, a first user-selectable recommendation item to upload content of selected ones of the folders to a cloud system, wherein the provided first user-selectable recommendation item allows for user selection and deselection of each of the folders, and wherein each of the folders in the first subset is selected by default;

receive, via the user interface, a user selection or deselection of one or more of the folders in the first user-selectable recommendation item to accept or modify the first user-selectable recommendation item to upload the content of the selected ones of the folders to the cloud system;

responsive to the receipt of the user selection or deselection of the first user-selectable recommendation item to accept or modify the first user-selectable recommendation item, upload, the content of the selected ones of the folders to the cloud system.

9. The system of claim 8, wherein, to select the first subset of the folders, the processor is further configured to execute the instructions to select each of the folders where the score exceeds a first threshold, and wherein the evaluation of the score is inversely related to the depth of the folder.

10. The system of claim 9, wherein the processor is further configured to execute the instructions to:

select a second subset of the folders, wherein, to select the second subset of the folders, the processor is further configured to execute the instructions to select each of the folders where the score is below a second threshold that is lower than the first threshold; and

provide, via the user interface, a second user-selectable recommendation item to not upload the second subset of the folders to the cloud system, wherein the provided second user-selectable recommendation item allows for user selection and deselection of each of the folders, and wherein each of the folders in the second subset is selected by default and each of the folders other than the second subset is not selected by default.

11. The system of claim 8, wherein the score for each folder in the folders is indicative of a likelihood that a user would select the folder to upload content of the folder to the cloud system.

12. The method of claim 8, wherein the set of rules is formed based on a machine learning technique and is trained on training data comprising existing cloud data in a cloud system, and wherein:

the training data expands by incorporating the user selection or deselection of the first user-selectable recommendation item to modify the first user-selectable recommendation item; and

the machine learning technique is updated when the training data expands by a predetermined threshold.

13. The system of claim 8, wherein the metadata to which the set of rules is applied for each folder in the folders comprises at least two of:

a size of the folder, a number of files in the folder, types of files in the folder, a number of document files in the folder, file data in the folder, content of files in the folder, a number of subfolders in the folder, and a frequency of accesses to files in the folder.

14. The system of claim 13, wherein the processor is further configured to execute the instructions to compress one or more of the depth, the size, the number of files, the type, the number of document files, the file data, the content, the number of subfolders, or the frequency into a set of binary features that describe each folder in the folders.

15. A non-transitory computer-readable memory having instructions stored therein that, when executed by at least one processor, cause the processor to:

identify, by the processor, a plurality of folders on a client system, wherein the folders are associated with metadata;

evaluate, by the processor, a score for each folder among the folders by application of a set of rules to the metadata, wherein the metadata comprises a depth of the folder among the folders, and wherein the set of rules is applied to the depth of the folder to evaluate the score of the folder, the depth of the folder among the folders corresponds to a number of subfolders within the folder;

select, by the processor, a first subset of the folders based on the score of each of the folders;

provide, by the processor via a user interface, a first user-selectable recommendation item to upload content of selected ones of the folders to a cloud system, wherein the provided first user-selectable recommendation item allows for user selection and deselection of each of the folders, and wherein each of the folders in the first subset is selected by default;

receive, by the processor via the user interface, a user selection or deselection of one or more of the folders in the first user-selectable recommendation item to accept or modify the first user-selectable recommendation item to upload the content of the selected ones of the folders to the cloud system;

responsive to the receipt of the user selection or deselection of the first user-selectable recommendation item to accept or modify the first user-selectable recommendation item, upload, by the processor, the content of the selected ones of the folders to the cloud system.

16. The computer-readable memory of claim 15, wherein, to select the first subset of the folders, the instructions are further to cause processor to select each of the folders where the score exceeds a first threshold, and wherein the evaluation of the score is inversely related to the depth of the folder.

17. The computer-readable memory of claim 16, wherein the instructions are further to cause the processor to:

select, by the processor, a second subset of the folders, wherein, to select the second subset of the folders, the instructions are further to cause the processor to select each of the folders where the score is below a second threshold that is lower than the first threshold; and

provide, by the processor via the user interface, a second user-selectable recommendation item to not upload the second subset of the folders to the cloud system, wherein the provided second user-selectable recommendation item allows for user selection and deselection of each of the folders, and wherein each of the folders in the second subset is selected by default and each of the folders other than the second subset is not selected by default.

18. The computer-readable memory of claim 15, wherein the score for each folder in the folders is indicative of a likelihood that a user would select the folder to upload content of the folder to the cloud system.

19. The computer-readable memory of claim 15, wherein the metadata to which the set of rules is applied for each folder in the folders comprises at least two of:

a size of the folder, a number of files in the folder, types of files in the folder, a number of document files in the folder, file data in the folder, content of files in the folder, a number of subfolders in the folder, and a frequency of accesses to files in the folder.

20. The computer-readable memory of claim 19, wherein the instructions are further to cause the processor to compress one or more of the depth, the size, the number of files, the type, the number of document files, the file data, the content, the number of subfolders, or the frequency into a set of binary features that describe each folder in the folders.