Method and apparatus for providing criticality based data backup

• US 9,274,898 B2
• Filed: 09/09/2011
• Issued: 03/01/2016
• Est. Priority Date: 09/09/2011
• Status: Active Grant

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Boldyrev, Sergey, Kalra, Pavandeep
• Primary Examiner(s): Rones, Charles
• Assistant Examiner(s): Li, Sidney
• Application Number:
  US13/228,845
• Publication Number:
  US 20130067181A1
• Time in Patent Office: 1,635 Days
• Field of Search: 711/162, 711/E12.103
• US Class Current: 1/1
• CPC Class Codes: G06F 11/1458 Management of the backup or restore process

Abstract

An approach is provided for providing criticality based data backup. A data backup platform determines one or more state trajectories associated with one or more information management processes operating on at least one information space. The data backup platform further processes and/or facilitates a processing of the one or more state trajectories to determine criticality information associated with one or more data items of the at least one information space. The data backup platform also determines (a) one or more data backup processes, (b) one or more data restoration processes, (c) one or more parameters for the one or more data backup processes, the data restoration processes, or a combination thereof, or (d) a combination thereof based, at least in part, on the criticality information.

Claims

1. A method comprising:

processing of one or more state trajectories to determine criticality information associated with one or more data items of at least one information space, wherein the one or more state trajectories are associated with one or more information management processes operating on the at least one information space; and

determining (a) one or more data backup processes, (b) one or more data restoration processes, (c) one or more parameters for the one or more data backup processes, the data restoration processes, or a combination thereof, or (d) a combination thereof based, at least in part, on the criticality information,

wherein a state trajectory provides a mapping of information flow through the at least one information space and defines a finite set of possible future states for each of the one or more information management processes at given point in the nearest future, wherein the mapping comprises a geometrical representation of a trajectory of an active state for each of the one or more information management processes, and

wherein only the one or more data items that are critical, based at least upon the critically information, are included in the data backup process, the data restoration process, or combination thereof.

2. A method of claim 1, further comprising:

processing of the one or more state trajectories to determine time-sensitivity information associated with the one or more data items,

wherein (a) the one or more data backup processes, (b) the one or more data restoration processes, (c) the one or more parameters for the one or more data backup processes, the data restoration processes, or a combination thereof, or (d) a combination thereof are based, at least in part, on the time-sensitivity information.

3. A method of claim 1, further comprising:

processing of the one or more state trajectories to determine one or more future states of the one or more information management processes, the at least one information space, the one or more data items, or a combination thereof,

wherein determining (a) the one or more data backup processes, (b) the one or more data restoration processes, (c) the one or more parameters for the one or more data backup processes, the one or more data restoration processes, or a combination thereof, or (d) a combination thereof are based, at least in part, on the one or more future states.

4. A method of claim 3, further comprising:

filtering of the one or more future states based, at least in part, on one or more patterns, wherein the one or more patterns are associated with one or more historical observations of the one or more state trajectories.

5. A method of claim 1, further comprising:

determining power consumption information, performance information, reliability information, or a combination thereof associated with the at least one information space, the one or more information management processes, the one or more data backup processes, the one or more data restoration processes, or a combination thereof,

wherein determining (a) the one or more data backup processes, (b) the one or more data restoration processes, (c) the one or more parameters for the one or more data backup processes, the one or more data restoration processes, or a combination thereof, or (d) a combination thereof are based, at least in part, on the power consumption information, the performance information, the reliability information, or a combination thereof.

6. A method of claim 5, wherein:

determining the power consumption information, the performance information, the reliability information, or a combination thereof is based, at least in part, on one or more workload models.

7. A method of claim 6, further comprising:

binding of the one or more workload models with the one or more state trajectories.

8. A method of claim 6, further comprising:

determining to establish a relationship among the one or more workload models and one or more other workload models associated with one or more storage providers associated with the at least one information space, one or more other information spaces, or a combination thereof.

9. A method of claim 8, wherein the relationship is based, at least in part, on a multiple-input multiple-output (MIMO) model, a single-input single-output (SISO) model, or a combination thereof.

10. A method of claim 6, wherein the one or more workload models are local workload models, aggregated workload models, or a combination thereof.

21. A method of claim 1, wherein the state trajectory provides a mapping of information flow through the at least one information space by checking the recyclability of the criticality information.

11. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following;

determine one or more state trajectories associated with one or more information management processes operating on at least one information space;

process and/or facilitate a processing of the one or more state trajectories to determine criticality information associated with one or more data items of the at least one information space; and

determine (a) one or more data backup processes, (b) one or more data restoration processes, (c) one or more parameters for the one or more data backup processes, the data restoration processes, or a combination thereof, or (d) a combination thereof based, at least in part, on the criticality information,

wherein a state trajectory provides a mapping of information flow through the at least one information space and defines a finite set of possible future states for each of the one or more information management processes at given point in the nearest future, wherein the mapping comprises a geometrical representation of a trajectory of an active state for each of the one or more information management processes, and

wherein only the one or more data items that are critical, based at least upon the critically information, are included in the data backup process, the data restoration process, or combination thereof.

12. An apparatus of claim 11, wherein the apparatus is further caused to:

process and/or facilitate a processing of the one or more state trajectories to determine time-sensitivity information associated with the one or more data items,

wherein (a) the one or more data backup processes, (b) the one or more data restoration processes, (c) the one or more parameters for the one or more data backup processes, the data restoration processes, or a combination thereof, or (d) a combination thereof are based, at least in part, on the time-sensitivity information.

13. An apparatus of claim 11, wherein the apparatus is further caused to:

process and/or facilitate a processing of the one or more state trajectories to determine one or more future states of the one or more information management processes, the at least one information space, the one or more data items, or a combination thereof,

wherein the determination of (a) the one or more data backup processes, (b) the one or more data restoration processes, (c) the one or more parameters for the one or more data backup processes, the one or more data restoration processes, or a combination thereof, or (d) a combination thereof are based, at least in part, on the one or more future states.

14. An apparatus of claim 13, wherein the apparatus is further caused to:

determine one or more patterns associated with one or more historical observations of the one or more state trajectories; and

cause, at least in part, a filtering of the one or more future states based, at least in part, on the one or more patterns.

15. An apparatus of claim 11, wherein the apparatus is further caused to:

determine power consumption information, performance information, reliability information, or a combination thereof associated with the at least one information space, the one or more information management processes, the one or more data backup processes, the one or more data restoration processes, or a combination thereof,

wherein the determination of (a) the one or more data backup processes, (b) the one or more data restoration processes, (c) the one or more parameters for the one or more data backup processes, the one or more data restoration processes, or a combination thereof, or (d) a combination thereof are based, at least in part, on the power consumption information, the performance information, the reliability information, or a combination thereof.

16. An apparatus of claim 15, wherein the apparatus is further caused to:

determine the power consumption information, the performance information, the reliability information, or a combination thereof based, at least in part, on one or more workload models.

17. An apparatus of claim 16, wherein the apparatus is further caused to:

cause, at least in part, a binding of the one or more workload models with the one or more state trajectories.

18. An apparatus of claim 16, wherein the apparatus is further caused to:

determine to establish a relationship among the one or more workload models and one or more other workload models associated with one or more storage providers associated with the at least one information space, one or more other information spaces, or a combination thereof.

19. An apparatus of claim 18, wherein the relationship is based, at least in part, on a multiple-input multiple-output (MIMO) model, a single-input single-output (SISO) model, or a combination thereof.

20. An apparatus of claim 16, wherein the one or more workload models are local workload models, aggregated workload models, or a combination thereof.

22. An apparatus of claim 16, wherein the state trajectory provides a mapping of information flow through the at least one information space by checking the recyclability of the criticality information.