SYSTEMS AND METHODS FOR CONTENT SERVER MAKE DISK IMAGE OPERATION

• US 20180329784A1
• Filed: 07/20/2018
• Published: 11/15/2018
• Est. Priority Date: 06/15/2015
• Status: Active Grant

• Current Assignee: Ip Ot Sub Ulc
• Original Assignee: Open Text Sa Ulc (Open Text Corporation)
• Inventors: Pidduck, Patrick Thomas Sidney, Boyd, Laura Helene
• Granted Patent: US 10,838,822 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/1451 by selection of backup contents
• CPC Class Codes: G06F 11/1464 for networked environments
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 2201/80 Database-specific techniques

Abstract

Responsive to a request from a user device, a content server may perform an electronic discovery function. The request may include information on a quantity of data objects desired from a collection of data objects stored in a repository. Objects stored in the repository may be managed by the content server. The content server may determine a number of batches and process the collection of data objects into batches, each having a batch size. An efficient selection process may be determined and utilized in selecting data objects from each of the batches such that a total number of data objects selected from the collection is not less than the quantity of data objects desired. The content server may make a disk image of the selected data objects and communicate same to the user device over a network.

Claims

1. A method, comprising:

receiving, by a server computer from a user device, a request to generate a disk image from a collection of documents stored in a repository;

determining, by the server computer, a quantity of documents for generating a disk image from the collection of documents stored in the repository;

determining, by the server computer based on a confidence level and in view of the quantity of documents to be selected from the collection of documents stored in the repository, at least a batch size or a number of batches for processing the collection of documents stored in the repository, the confidence level relating to a probability that the quantity of documents selected from the collection of documents stored in the repository represents the collection of documents;

processing, by the server computer, the collection of documents into batches utilizing at least the batch size or the number of batches determined by the server computer such that the confidence level is achieved for each batch;

selecting or deselecting, by the server computer, documents from each batch to form a set of documents, the set of documents not less than the quantity of documents determined by the server computer; and

communicating, by the server computer, the set of documents to the user device over a network.

2. The method according to claim 1, further comprising:

copying, by the server computer, the set of documents from the repository into a file, folder, container, file system, drive, or data storage device on the server computer.

3. The method according to claim 1, further comprising:

generating a list of object identifiers corresponding to the set of documents.

4. The method according to claim 3, further comprising:

exporting the set of documents utilizing the list of object identifiers;

or

generating the disk image utilizing the list of object identifiers.

5. The method according to claim 1, wherein the determining further comprises rounding up or down the batch size such that the batches having a uniform or approximately uniform size.

6. The method according to claim 1, wherein the number of batches is determined by the server computer to ensure that the batches are of a uniform or approximately uniform size.

7. The method according to claim 1, wherein the selecting or deselecting is performed by the server computer utilizing a random sampling method.

8. A system, comprising:

a processor;

a non-transitory computer-readable medium; and

stored instructions translatable by the processor for performing;

receiving, from a user device, a request to generate a disk image from a collection of documents stored in a repository;

determining a quantity of documents for generating a disk image from the collection of documents stored in the repository;

determining, based on a confidence level and in view of the quantity of documents to be selected from the collection of documents stored in the repository, at least a batch size or a number of batches for processing the collection of documents stored in the repository, the confidence level relating to a probability that the quantity of documents selected from the collection of documents stored in the repository represents the collection of documents;

processing the collection of documents into batches utilizing at least the batch size or the number of batches determined by the server computer such that the confidence level is achieved for each batch;

selecting or deselecting documents from each batch to form a set of documents, the set of documents not less than the quantity of documents; and

communicating the set of documents to the user device over a network.

9. The system of claim 8, wherein the stored instructions are further translatable by the processor for performing:

copying the set of documents from the repository into a file, folder, container, file system, drive, or data storage device.

10. The system of claim 8, wherein the stored instructions are further translatable by the processor for performing:

generating a list of object identifiers corresponding to the set of documents.

11. The system of claim 10, wherein the stored instructions are further translatable by the processor for performing:

exporting the set of documents utilizing the list of object identifiers;

or

generating the disk image utilizing the list of object identifiers.

12. The system of claim 8, wherein the determining further comprises rounding up or down the batch size such that the batches having a uniform or approximately uniform size.

13. The system of claim 8, wherein the number of batches is determined to ensure that the batches are of a uniform or approximately uniform size.

14. The system of claim 8, wherein the selecting or deselecting is performed utilizing a random sampling method.

15. A computer program product comprising a non-transitory computer-readable medium storing instructions translatable by a processor for:

receiving, from a user device, a request to generate a disk image from a collection of documents stored in a repository;

determining a quantity of documents for generating a disk image from the collection of documents stored in the repository;

determining, based on a confidence level and in view of the quantity of documents to be selected from the collection of documents stored in the repository, at least a batch size or a number of batches for processing the collection of documents stored in the repository, the confidence level relating to a probability that the quantity of documents selected from the collection of documents stored in the repository represents the collection of documents;

processing the collection of documents into batches utilizing at least the batch size or the number of batches determined by the server computer such that the confidence level is achieved for each batch;

selecting or deselecting documents from each batch to form a set of documents, the set of documents not less than the quantity of documents; and

communicating the set of documents to the user device over a network.

16. The computer program product of claim 15, wherein the instructions are further translatable by the processor for:

copying the set of documents from the repository into a file, folder, container, file system, drive, or data storage device.

17. The computer program product of claim 15, wherein the instructions are further translatable by the processor for:

generating a list of object identifiers corresponding to the set of documents.

18. The computer program product of claim 17, wherein the instructions are further translatable by the processor for:

exporting the set of documents utilizing the list of object identifiers;

or

generating the disk image utilizing the list of object identifiers.

19. The computer program product of claim 15, wherein the determining further comprises rounding up or down the batch size such that the batches having a uniform or approximately uniform size.

20. The computer program product of claim 15, wherein the number of batches is determined to ensure that the batches are of a uniform or approximately uniform size.