Systems and methods of media management, such as management of media to and from a media storage library

• US 8,484,165 B2
• Filed: 03/31/2008
• Issued: 07/09/2013
• Est. Priority Date: 12/22/2006
• Status: Active Grant

• Current Assignee: CommVault Systems Incorporated
• Original Assignee: CommVault Systems Incorporated
• Inventors: Gokhale, Parag, Kottomtharayil, Rajiv
• Primary Examiner(s): Ruiz, Angelica
• Application Number:
  US12/060,160
• Publication Number:
  US 20080243420A1
• Time in Patent Office: 1,926 Days
• Field of Search: None
• US Class Current: 707/674
• CPC Class Codes: G06F 11/004 Error avoidance G06F11/07 and subgroups take precedence
• CPC Class Codes: G06F 16/11 File system administration, e.g. details of archiving or snapshots file system backup G06F11/14
• CPC Class Codes: G06F 3/0604 Improving or facilitating administration, e.g. storage management
• CPC Class Codes: G06F 3/0634 by changing the state or mode of one or more devices
• CPC Class Codes: G06F 3/0686 Libraries, e.g. tape libraries, jukebox
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G11B 2220/41 Flat as opposed to hierarchical combination, e.g. library of tapes or discs, CD changer, or groups of record carriers that together store one title
• CPC Class Codes: G11B 27/002 Programmed access in sequence to a plurality of record carriers or indexed parts, e.g. tracks, thereof, e.g. for editing; transfer of record carriers from magazine G11B15/68, G11B17/10; G11B17/22

Abstract

A system and method for determining media to be exported out of a media library is described. In some examples, the system determines a media component to be exported, determines the media component is in the media library for a specific process, and exports the media component after the process is completed.

Claims

1. A non-transitory computer-readable medium containing executable code that causes a computer system to perform a method of ordering media components for a media storage facility from an outside vendor, the method comprising:

obtaining information related to historical usage of at least one set of media components;

determining an amount of media components contained within the media storage facility,

wherein the amount of media components includes;

media components that are currently in use,

media components that are surplus and have not yet been used by the media storage facility, and

media components that have previously been used by the media storage facility but that only contain expired data and have been transferred to a surplus of media components that are allocated to the media storage facility for overwriting,

wherein determining the amount of media components includes determining an amount of surplus media components that are currently not in use by the media storage facility;

predicting future usage of the at least one set of media components;

predicting future surplus of media components based on an end of a lifecycle for information stored on the media components,

wherein at the end of the lifecycle for information stored on a particular one of the media components, the particular one of the media components is transitioned to the surplus of media components that are allocated for overwriting; and

when the predicted future usage requires an amount of media components greater than the determined amount of surplus media components contained within the media storage facility,

automatically ordering additional media components from an outside vendor to satisfy the predicted future usage; and

updating a quantity of media components provided by a media component ordering policy based upon the predicted future usage,

wherein the predicted future use is based at least in part on calendar-based patterns of previously placed orders for additional media components.

2. A system having one or more computer processors for predicting data storage media requirements for a media library associated with a data storage system, the system comprising:

an automation component that determines an amount of data storage media in the system that are associated with the media library,

wherein the amount of data storage media includes;

data storage media that are currently in use,

data storage media that are surplus and have not yet been used by the data storage system, and

data storage media that have previously been used by the data storage system but that only contain expired data and have been transferred to a surplus of data storage media that are allocated for overwriting by the data storage system,

wherein determining the amount of data storage media includes determining an amount of surplus data storage media that are currently not in use by the data storage system;

a data storage prediction component,

wherein the storage prediction component determines an estimated storage requirement for a future storage operation using the media library,

wherein the data storage prediction component predicts future surplus of data storage media based on the future storage operation and based on an end of a lifecycle for information stored on the data storage media,

wherein at the end of the lifecycle for information stored on a particular one of the data storage media, the particular one of the data storage media is transitioned to the surplus of data storage media that are allocated for overwriting by the data storage system;

a media acquisition component, in communication with the data storage prediction component,

wherein the media acquisition component automatically orders data storage media for the media library from an outside vendor based at least in part on the determined estimated storage requirements and based on information associated with the future surplus of data storage media received from the data storage prediction component; and

a policy component, in communication with the data storage prediction component,

wherein the policy component automatically updates a quantity of data storage media provided by a media ordering policy based upon the determined estimated storage requirement.

3. The system of claim 2, wherein the data storage prediction component identifies a trend in information associated with previous storage operations and estimates the storage requirement for the future storage operation based at least in part on the identified trend.

4. The system of claim 2, wherein the data storage prediction component retrieves information related to types of data storage media used in previous storage operations and estimates the storage requirement for the future storage operation based at least in part on the retrieved information.

5. The system of claim 2, wherein the data storage prediction component retrieves information related to a total volume of data storage media used in previous storage operations and estimates the storage requirement for the future storage operation based at least in part on the retrieved information.

6. The system of claim 2, wherein the data storage prediction component retrieves information related to user preferences during previous storage operations and estimates the storage requirement for the future storage operation based at least in part on the retrieved information.

7. The system of claim 2, wherein the data storage prediction component retrieves information related to storage operations not associated with the media library and related to other data storage systems and estimates the storage requirement for the future storage operation based at least in part on the retrieved information.

8. The system of claim 2, wherein the data storage prediction component retrieves information related to storage operations performed within a specified time period before the future storage operation, identifies a trend in the retrieved information, and estimates the storage requirement for the future storage operation based at least in part on the identified trend.

9. The system of claim 2, wherein the data storage prediction component retrieves information related to predicted contents of data of the future storage operation, identifies a capacity of data storage media in the media library needed to store the predicted contents of the data and estimates the storage requirement for the future storage operation based at least in part on the retrieved information and the identified capacity of data storage media.

10. A method of using one or more computer processors for obtaining an additional data storage article for a warehouse that contains data storage articles at a current time, the method comprising:

determining an amount of data storage articles contained in the warehouse,

wherein the amount of data storage articles includes;

data storage articles that are currently in use,

data storage articles that are surplus and have not yet been used by a data storage system, and

data storage articles that have previously been used by the data storage system but that only contain expired data and have been transferred to a surplus of data storage articles at the warehouse for overwriting,

wherein determining the amount of data storage articles includes determining an amount of surplus data storage articles that are currently not in use by the data storage system,

predicting a future deficit of data storage articles at a future time,

wherein the prediction of the future deficit is based at least in part on a previous deficit of data storage articles that occurred at a previous time,

wherein predicting the future deficit of data storage articles includes predicting future surplus of data storage articles based on an end of a lifecycle for information stored on the data storage articles,

wherein at the end of the lifecycle for information stored on a particular one of the media components, the particular one of the media components is transitioned to the surplus of data storage articles that are allocated for overwriting by the data storage system;

estimating, at the current time, an amount of data storage articles required to satisfy the predicted future deficit based, at least partially on, the predicted future surplus of data storage articles;

automatically ordering a number of data storage articles from an outside vendor equal to the estimated amount before the future time; and

updating a quantity of data storage articles provided under a data storage articles ordering policy based upon the estimated amount.

11. The method of claim 10, wherein predicting a future deficit of data storage articles at a future time comprises identifying a trend in information associated with previous storage operations.

12. The method of claim 10, wherein predicting a future deficit of data storage articles at a future time comprises retrieving information related to types of media used in previous storage operations and estimating a storage requirement for a future storage operation based at least in part on the retrieved information.

13. The method of claim 10, wherein predicting a future deficit of data storage articles at a future time comprises retrieving information related to a total volume of media used in previous storage operations and estimating a storage requirement for a future storage operation based at least in part on the retrieved information.

14. The method of claim 10, wherein predicting a future deficit of data storage articles at a future time comprises retrieving information related to user preferences during previous storage operations and estimating a storage requirement for a future storage operation based at least in part on the retrieved information.

15. The method of claim 10, wherein predicting a future deficit of data storage articles at a future time comprises retrieving information related to storage operations not associated with the warehouse and estimating a storage requirement for a future storage operation based at least in part on the retrieved information.

16. The method of claim 10, wherein predicting a future deficit of data storage articles at a future time comprises retrieving information related to storage operations performed within a specified time period before a future storage operation, identifying a trend in the retrieved information, and estimating a storage requirement for the future storage operation based at least in part on the identified trend.

17. The method of claim 10, wherein predicting a future deficit of data storage articles at a future time comprises retrieving information related to contents of data of a future storage operation, identifying a capacity of media in the warehouse needed to store the contents of the data and estimating a storage requirement for the future storage operation based at least in part on the retrieved information and the identified capacity of media.