Disk scrubbing

• US 8,229,901 B2
• Filed: 09/04/2010
• Issued: 07/24/2012
• Est. Priority Date: 09/04/2010
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Nagpal, Abhinay R., Patil, Sandeep R., Shah, Dhaval K., Stein, Yan W.
• Primary Examiner(s): Nguyen, Phong
• Application Number:
  US12/876,130
• Publication Number:
  US 20120059803A1
• Time in Patent Office: 689 Days
• Field of Search: 707/692, 707/693, 707/758
• US Class Current: 707/692
• CPC Class Codes: G06F 11/1076 Parity data used in redundant arrays of independent storages, e.g. in RAID systems
• CPC Class Codes: G06F 16/215 Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• CPC Class Codes: G06F 2211/1088 Scrubbing in RAID systems with parity
• CPC Class Codes: G06F 2212/7205 Cleaning, compaction, garbage collection, erase control
• CPC Class Codes: G06F 3/0652 Erasing, e.g. deleting, data cleaning, moving of data to a wastebasket

Abstract

A method, a system, and a computer program product are provided for data management. The method may comprise identifying a predefined set of data storage parameters and a predefined set of data scrubbing parameters. The method further may comprise determining the predefined set of data scrubbing parameters for first data in a first data storage based on the predefined set of data storage parameters for the first data and performing data scrubbing for the first data using the determined predefined set of data scrubbing parameters. Furthermore, the method may comprise comparing first data in the first data storage and corresponding second data in a second data storage. If a mismatch is determined between the first data and the second data, the method further may comprise synchronizing the first data with the second data as a result of the comparison.

Claims

1. A computing device implemented method for data management, the method comprising:

identifying a predefined set of service level agreement (SLA) parameters, wherein the predefined set of SLA parameters comprises data availability, and wherein data availability for crucial data or data associated with a premium user is higher than data availability for non-crucial data or data associated with a non-premium user;

identifying a predefined set of data scrubbing parameters, wherein the predefined set of data scrubbing parameters comprises data scrubbing frequency;

determining the predefined set of data scrubbing parameters for first data in a first data storage based on the predefined set of SLA parameters for the first data, wherein data scrubbing frequency determined for the first data is higher than data scrubbing frequency determined for other data if data availability for the first data is higher than data availability for the other data; and

performing data scrubbing for the first data in accordance with the determined predefined set of data scrubbing parameters.

2. The method of claim 1, wherein the predefined set of SLA parameters further comprises at least one of data latency and allocation of central processing unit (CPU) usage.

3. The method of claim 1, wherein the predefined set of data scrubbing parameters further comprises data scrubbing block size, and wherein data scrubbing block size determined for the first data is smaller than data scrubbing block size determined for other data if data availability for the first data is higher than data availability for the other data.

4. The method of claim 1, further comprising:

comparing the first data in the first data storage and corresponding second data in a second data storage; and

upon determining a mismatch between the first data and the second data, synchronizing the first data with the second data.

5. A data management system, the system comprising at least one processor and at least one memory, wherein the processor is configured to:

identify a predefined set of service level agreement (SLA) parameters, wherein the predefined set of SLA parameters comprises data availability, and wherein data availability for crucial data or data associated with a premium user is higher than data availability for non-crucial data or data associated with a non-premium user;

identify a predefined set of data scrubbing parameters, wherein the predefined set of data scrubbing parameters comprises data scrubbing frequency;

determine the predefined set of data scrubbing parameters for first data in a first storage based on the predefined set of SLA parameters for the first data, wherein data scrubbing frequency determined for the first data is higher than data scrubbing frequency determined for other data if data availability for the first data is higher than data availability for the other data; and

perform data scrubbing for the first data in accordance with the determined predefined set of data scrubbing parameters.

6. The system of claim 5, wherein the predefined set of SLA parameters further comprises at least one of data latency and allocation of central processing unit (CPU) usage.

7. The system of claim 5, wherein the predefined set of data scrubbing parameters further comprises data scrubbing block size, and wherein data scrubbing block size determined for the first data is smaller than data scrubbing block size determined for other data if data availability for the first data is higher than data availability for the other data.

8. The system of claim 5, wherein the processor is further configured to:

compare the first data in the first data storage and corresponding second data in a second data storage; and

upon determining a mismatch between the first data and the second data, synchronize the first data with the second data.

9. A computer program product for data management, the computer program product comprising a tangible computer readable storage medium having computer readable program code instructions stored therein comprising:

a first set of instructions for identifying a predefined set of service level agreement (SLA) parameters, wherein the predefined set of SLA parameters comprises data availability, and wherein data availability for crucial data or data associated with a premium user is higher than data availability for non-crucial data or data associated with a non-premium user;

a second set of instructions for identifying a predefined set of data scrubbing parameters, wherein the predefined set of data scrubbing parameters comprises data scrubbing frequency;

a third set of instructions for determining the predefined set of data scrubbing parameters for first data in a first storage based on the predefined set of SLA parameters for the first data, wherein data scrubbing frequency determined for the first data is higher than data scrubbing frequency determined for other data if data availability for the first data is higher than data availability for the other data; and

a fourth set of instructions for performing data scrubbing for the first data in accordance with the determined predefined set of data scrubbing parameters.

10. The computer program product of claim 9, wherein the predefined set of SLA parameters further comprises at least one of data latency and allocation of central processing unit (CPU) usage.

11. The computer program product of claim 9, wherein the predefined set of data scrubbing parameters further comprises data scrubbing block size, and wherein data scrubbing block size determined for the first data is smaller than data scrubbing block size determined for other data if data availability for the first data is higher than data availability for the other data.

12. The computer program product of claim 9, wherein the computer-readable program code instructions further comprise:

a fifth set of instructions for comparing the first data in the first data storage and corresponding second data in a second data storage; and

a sixth set of instructions for, upon determining a mismatch between the first data and the second data, synchronizing the first data with the second data.