System and methods for granular resource management in a storage network

• US 20080147878A1
• Filed: 07/05/2007
• Published: 06/19/2008
• Est. Priority Date: 12/15/2006
• Status: Abandoned Application

• Current Assignee: Marcus Muller, Parag Gokhale, Rajiv Kottomtharayil
• Original Assignee: Marcus Muller, Parag Gokhale, Rajiv Kottomtharayil
• Inventors: Gokhale, Parag, Kottomtharayil, Rajiv, Muller, Marcus
• Application Number:
  US11/825,284
• Publication Number:
  US 20080147878A1
• Time in Patent Office: Days
• US Class Current: 709/235
• CPC Class Codes: G06F 16/122 using management policies backup systems G06F11/1446; file migration policies for HSM systems G06F16/185
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/101 based on network conditions
• CPC Class Codes: H04L 67/1029 using data related to the state of servers by a load balancer
• 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 67/125 involving control of end-device applications over a network

Abstract

In accordance with some aspects of the present invention, systems and methods are provided for dynamically and/or automatically selecting and/or modifying data path definitions that are used in performing storage operations on data. Alternate data paths may be specified or selected that use some or all resources that communicate with a particular destination to improve system reliability and performance. The system may also dynamically monitor and choose data path definitions to optimize system performance, conserve storage media and promote balanced load distribution.

Claims

1. A method for consolidating storage policies within a storage operation network comprising:

analyzing a plurality of storage operation paths, the storage operation paths defined within a plurality of storage policies;

identifying inefficiencies in the plurality of storage operation paths, if any;

reconfiguring the plurality of storage operation paths to improve any adverse effects caused by the identified inefficiencies; and

monitoring the storage network, including any reconfigured resources subsequent to the reconfiguration to determine an effect of the reconfiguration on the network.

2. The method of claim 1 wherein adverse effects comprise any one of the following:

unbalanced load, network congestion, insufficient media space, and failover conditions.

3. The method of claim 1 further comprising performing a forecasting analysis to predict future network performance conditions of the storage network, the predicted network performance conditions being used to determine appropriate network routing or provisioning schemes.

4. The method of claim 3 wherein the network performance conditions comprise any one of the following:

data transfer rate, load balancing, storage media conservation, resource exhaustion or performance optimization.

5. The method of claim 3 further comprising redefining the storage operation paths based upon the predicted network performance conditions.

6. The method of claim 1 wherein the identifying is performed, at least in part, by one or more storage management modules.

7. The method of claim 1 wherein the identifying is performed, at least in part, by one or more media agents.

8. The method of claim 1 wherein the reconfiguring is performed, at least in part, by one or more storage management modules.

9. The method of claim 1 wherein the reconfiguring is performed, at least in part, by one or more media agents. storage management module.

10. The method of claim 1 wherein the reconfiguring is substantially dynamic.

11. The method of claim 1 wherein the reconfiguring is based, at least in part, on user preference.

12. A system for redefining storage policies within a storage operation network comprising:

a management component for controlling a storage operation to a destination, and

a plurality of storage operation paths, the storage operation paths defined within a plurality of storage policies, the management component determining inefficiencies in the plurality of storage operation paths and reconfiguring the plurality of storage operation paths to correct the inefficiencies, the management component monitoring the storage network for the inefficiencies in the storage network subsequent to redefining the plurality of storage operation paths.

13. The method of claim 12 further comprising a management module which performs a forecasting analysis to predict future network performance conditions of the storage network, the predicted network performance conditions being used to determine appropriate network routing or provisioning schemes.

14. The method of claim 13 wherein the network performance conditions comprise any one of the following:

data transfer rate, load balancing, storage media conservation, resource exhaustion or performance optimization.

15. The method of claim 13 further comprising redefining the storage operation paths based upon the predicted network performance conditions.

16. The system of claim 12 wherein the management component selectively reconfigures the plurality of storage operation paths based upon any one of following characteristics:

data transfer rate, load balancing, storage media usage, resource exhaustion, transmission congestion, or performance optimization.

17. The system of claim 13 wherein the management component reconfigures the plurality of storage operation paths substantially dynamically.

18. The system of claim 17 wherein the substantially dynamic reconfiguring analyzes and automatically reconfigures the plurality of storage operation paths based on the results of a predictive analysis.

19. The system of claim 12 further comprising a plurality of media agents, the plurality of media agents defining, at least in part, the plurality of storage operation paths.

20. The system of claim 12 wherein the redefining of two or more storage policies is based any one of the following characteristics:

data transfer rate, load balancing, storage media usage, resource exhaustion, transmission congestion, or performance optimization.

21. The system of claim 20 wherein the management component consolidates two or more of the plurality of storage policies substantially dynamically.

22. A computer-readable medium having stored thereon a plurality of sequences of instructions including sequences of instructions which, when executed by one or more processors cause an electronic device to:

analyze a plurality of storage operation paths, the storage operation paths defined within a plurality of storage policies;

identify inefficiencies in the plurality of storage operation paths, if any;

reconfigure the plurality of storage operation paths to improve any adverse effects caused by the identified inefficiencies; and

monitor the storage network, including any reconfigured resources subsequent to the reconfiguration to determine an effect of the reconfiguration on the network.

23. The computer-readable medium of claim 22 having further instructions stored thereon including sequences of instructions which, when executed by one or more processors cause an electronic device to perform a forecasting analysis to predict future network performance conditions of the storage network, the predicted network performance conditions being used to determine appropriate network routing or provisioning schemes.

24. The computer-readable medium of claim 23 having further instructions stored thereon including sequences of instructions which, when executed by one or more processors cause an electronic device to redefine the storage operation paths based upon the predicted network performance conditions.