Data restructuring of deduplicated data

Patent metadata

Field	Value
Publication number	US-9934232-B2
Application number	US-201414303708-A
Country	US
Kind code	B2
Filing date	Jun 13, 2014
Priority date	Jun 13, 2014
Publication date	Apr 3, 2018
Grant date	Apr 3, 2018

Abstract

Various embodiments for enhancing storage of deduplicated data in a computing storage environment. Analytics are applied to at least one data storage characteristic observed in the computing storage environment to restructure the deduplicated data in a more sequential manner so as to enhance performance of the computing storage environment.

First claim

The invention claimed is:

1. A method for enhancing storage of deduplicated data by a processor device in a computing storage environment, comprising:
applying analytics to at least one data storage characteristic observed in the computing storage environment to restructure the deduplicated data in a sequential manner so as to enhance performance of the computing storage environment; and
monitoring a type of storage device associated with the deduplicated data, wherein the analytics are withheld from application when the type of storage device is determined to be a solid-state device; wherein:
the at least one data storage characteristic observed in the computing storage environment is at least a read pattern, a data movement characteristic, a block move count characteristic, a read and write throughput characteristic, and a latency characteristic, and
restructuring the deduplicated data in the sequential manner is performed by applying the analytics to the read pattern, data movement characteristic, block move count characteristic, read and write throughput characteristic, and latency characteristic, each applied in at least one of a predetermined order, each according at least one of a predetermined weight, and each compared against at least one predetermined threshold to obtain an optimal placement of the deduplicated data in a rearranged, sequential, state; and further wherein one of the at least one predetermined thresholds comprises prohibiting a particular block of the deduplicated data from being restructured when the particular block of deduplicated data has been previously moved in the computing storage environment within a predefined timeframe.

2. The method of claim 1 , further including restructuring the deduplicated data in the sequential manner using a background process.

3. The method of claim 1 , wherein the at least one data storage characteristic observed in the computing storage environment is a read pattern, and further including performing the restructuring of the deduplicated data in the sequential manner based on analytics applied to the read pattern.

4. The method of claim 1 , wherein the at least one data storage characteristic observed in the computing storage environment is a data movement characteristic, and further including performing the restructuring of the deduplicated data in the sequential manner based on analytics applied to the data movement characteristic.

5. The method of claim 1 , wherein the at least one data storage characteristic observed in the computing storage environment is a block move count characteristic, and further including performing the restructuring of the deduplicated data in the sequential manner based on analytics applied to the block move count characteristic.

6. The method of claim 1 , wherein the at least one data storage characteristic observed in the computing storage environment is at least one of a read and write throughput and latency characteristic, and further including performing the restructuring of the deduplicated data in the sequential manner based on analytics applied to the read and write throughput and latency characteristics.

7. A system for enhancing storage of deduplicated data by a processor device in a computing storage environment, comprising:
a processor device that applies analytics to at least one data storage characteristic observed in the computing storage environment to restructure the deduplicated data in a sequential manner so as to enhance performance of the computing storage environment; and
monitors a type of storage device associated with the deduplicated data, wherein the analytics are withheld from application when the type of storage device is determined to be a solid-state device; wherein:
the at least one data storage characteristic observed in the computing storage environment is at least a read pattern, a data movement characteristic, a block move count characteristic, a read and write throughput characteristic, and a latency characteristic, and
restructuring the deduplicated data in the sequential manner is performed by applying the analytics to the read pattern, data movement characteristic, block move count characteristic, read and write throughput characteristic, and latency characteristic, each applied in at least one of a predetermined order, each according at least one of a predetermined weight, and each compared against at least one predetermined threshold to obtain an optimal placement of the deduplicated data in a rearranged, sequential, state; and further wherein one of the at least one predetermined thresholds comprises prohibiting a particular block of the deduplicated data from being restructured when the particular block of deduplicated data has been previously moved in the computing storage environment within a predefined timeframe.

8. The system of claim 7 , wherein the processor restructures the deduplicated data in the sequential manner using a background process.

9. The system of claim 7 , wherein the at least one data storage characteristic observed in the computing storage environment is a read pattern, and further wherein the processor performs the restructuring of the deduplicated data in the sequential manner based on analytics applied to the read pattern.

10. The system of claim 7 , wherein the at least one data storage characteristic observed in the computing storage environment is a data movement characteristic, and further wherein the processor performs the restructuring of the deduplicated data in the sequential manner based on analytics applied to the data movement characteristic.

11. The system of claim 7 , wherein the at least one data storage characteristic observed in the computing storage environment is a block move count characteristic, and further wherein the processor performs the restructuring of the deduplicated data in the sequential manner based on analytics applied to the block move count characteristic.

12. The system of claim 7 , wherein the at least one data storage characteristic observed in the computing storage environment is at least one of a read and write throughput and latency characteristic, and further wherein the processor performs the restructuring of the deduplicated data in the sequential manner based on analytics applied to the read and write throughput and latency characteristics.

13. A computer program product for performing video deduplication by a processor device, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
a first executable portion that applies analytics to at least one data storage characteristic observed in the computing storage environment to restructure the deduplicated data in a sequential manner so as to enhance performance of the computing storage environment; and
monitors a type of storage device associated with the deduplicated data, wherein the analytics are withheld from application when the type of storage device is determined to be a solid-state device; wherein:
the at least one data storage characteristic observed in the computing storage environment is at least a read pattern, a data movement characteristic, a block move count characteristic, a read and write throughput characteristic, and a latency characteristic, and
restructuring the deduplicated data in the sequential manner is performed by applying the analytics to the read pattern, data movement characteristic, block move count characteristic, read and write throughput characteristic, and latency characteristic, each applied in at least one of a predetermined order

Assignees

• IBM

Inventors

• Barajas Gonzalez Emmanuel
• Harrington Shaun E
• Mcgregor Harry

Classifications

• G06F17/30159

  Physics · mapped topic

• G06F17/30135 Primary

  Physics · mapped topic

• G06F16/1724 Primary

  Details of de-fragmentation performed by the file system (saving storage space on storage systems G06F3/0608; management of blocks in storage devices G06F3/064) · CPC title

• G06F16/1752

  based on file chunks · CPC title