Generating a social graph from file metadata

• US 10,810,075 B2
• Filed: 04/23/2018
• Issued: 10/20/2020
• Est. Priority Date: 04/23/2018
• Status: Active Grant

• Current Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Original Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Inventors: Malamut, Mark, Auchmoody, Scott, Norton, Jeffrey R.
• Primary Examiner(s): Manoskey, Joseph D
• Application Number:
  US15/960,433
• Publication Number:
  US 20190324840A1
• Time in Patent Office: 911 Days
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 11/076 by exceeding a count or rate limit, e.g. word- or bit count limit
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

One example method includes identifying, in a computing system, an aggregate data set that includes both data used by a first user and data used by a second user, examining file metadata associated with the data in the aggregate data set and, based on the examination of the file metadata, determining whether or not any data in the aggregate data set is shared by the first and second users. When a determination is made that some data in the data set is shared by the first and second users, the method includes further determining how much of the data is shared, assigning a strength of connection between the first user and the second user based on the extent to which the first user and second user share data and, based on the strength of connection, taking an action to improve operation and/or configuration of the computing system.

Claims

1. A method, comprising performing the following operations:

identifying, in a computing system, an aggregate data set that includes both data used by a first user and data used by a second user;

examining file metadata associated with the data in the aggregate data set and, based on the examination of the file metadata, determining whether or not any data in the aggregate data set is shared by the first and second users;

when a determination is made that some of the data in the aggregate data set is commonly shared by the first user and the second user, deeming a connection to exist between the first user and the second user, and further determining an extent of commonality of data shared by the first user and the second user, and determination of the commonality of the data is based in part on data hashes that were created as part of a data backup process;

determining and assigning a strength value to the connection between the first user and the second user based on the extent of the commonality of the data; and

taking, or causing the taking of, an action to improve an operation of the computing system and/or a configuration of the computing system, when the strength value of the connection between the first user and the second user meets or exceeds a threshold.

2. The method as recited in claim 1, wherein some shared data in the aggregate data set is omitted from consideration when a strength value is determined for the connection.

3. The method as recited in claim 2, wherein the omitted shared data comprises system data, and some shared data that is not omitted comprises user-specific data.

4. The method as recited in claim 1, wherein the strength of connection is also based in part on a frequency of use of the shared data by one or both of the first user and the second user.

5. The method as recited in claim 1, wherein the method is performed on an ad-hoc basis, or on a recurring basis.

6. The method as recited in claim 1, where the connection between the first user and the second user is relatively stronger for a relatively larger amount of shared data, and the connection between the first user and the second user is relatively weaker for a relatively smaller amount of shared data.

7. The method as recited in claim 1, wherein the method is performed without user awareness or requiring user cooperation.

8. The method as recited in claim 1, wherein part or all of the method is performed at a data center.

9. The method as recited in claim 1, further comprising generating a social graph that visually illustrates a strength and significance of the connection between the first user and the second user.

10. The method as recited in claim 1, wherein the action taken comprises one or both of a passive action, and an active action.

11. A non-transitory storage medium having stored therein computer-executable instructions which, when executed by one or more hardware processors, perform the following operations:

identifying, in a computing system, an aggregate data set that includes both data used by a first user and data used by a second user;

examining file metadata associated with the data in the aggregate data set and, based on the examination of the file metadata, determining whether or not any data in the aggregate data set is shared by the first and second users;

when a determination is made that some of the data in the aggregate data set is commonly shared by the first user and the second user, deeming a connection to exist between the first user and the second user, and further determining an extent of commonality of data shared by the first user and the second user, and determination of the commonality of the data is based in part on data hashes that were created as part of a data backup process;

determining and assigning a strength value to the connection between the first user and the second user based on the extent of the commonality of the data; and

taking, or causing the taking of, an action to improve an operation of the computing system and/or a configuration of the computing system, when the strength value of the connection between the first user and the second user meets or exceeds a threshold.

12. The non-transitory storage medium as recited in claim 11, wherein some shared data in the aggregate data set is omitted from consideration when a strength value is determined for the connection.

13. The non-transitory storage medium as recited in claim 12, wherein the omitted shared data comprises system data, and some shared data that is not omitted comprises user-specific data.

14. The non-transitory storage medium as recited in claim 11, wherein the strength of connection is also based in part on a frequency of use of the shared data by one or both of the first user and the second user.

15. The non-transitory storage medium as recited in claim 11, wherein the operations are performed on an ad-hoc basis, or on a recurring basis.

16. The non-transitory storage medium as recited in claim 11, where the connection between the first user and the second user is relatively stronger for a relatively larger amount of shared data, and the connection between the first user and the second user is relatively weaker for a relatively smaller amount of shared data.

17. The non-transitory storage medium as recited in claim 11, wherein the operations are performed without user awareness or requiring user cooperation.

18. The non-transitory storage medium as recited in claim 11, further comprising generating a social graph that visually illustrates a strength and significance of the connection between the first user and the second user.

19. The non-transitory storage medium as recited in claim 11, wherein the action taken comprises one or both of a passive action, and an active action.

20. A computing device comprising:

one or more hardware processors; and

the non-transitory storage medium as recited in claim 11.