Systems and methods for transformation of logical data objects for storage

• US 9,104,688 B2
• Filed: 07/07/2011
• Issued: 08/11/2015
• Est. Priority Date: 05/31/2006
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Koifman, Chaim, Kedem, Nadav, Zohar, Avi, Amit, Jonathan
• Primary Examiner(s): Perveen, Rehana
• Assistant Examiner(s): Wong, Huen
• Application Number:
  US13/178,412
• Publication Number:
  US 20110264634A1
• Time in Patent Office: 1,496 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 12/023 Free address space management
• CPC Class Codes: G06F 12/1408 by using cryptography for digital transmission H04L9/00
• CPC Class Codes: G06F 16/13 File access structures, e.g. distributed indices arrangements of input from, or output to, record carriers G06F3/06
• CPC Class Codes: G06F 16/1727 Details of free space management performed by the file system saving storage space on storage systems G06F3/0608; management of blocks in storage devices G06F3/064
• CPC Class Codes: G06F 16/1744 using compression, e.g. sparse files
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 21/62 Protecting access to data via a platform, e.g. using keys or access control rules
• CPC Class Codes: G06F 21/6209 to a single file or object, e.g. in a secure envelope, encrypted and accessed using a key, or with access control rules appended to the object itself
• CPC Class Codes: G06F 21/78 to assure secure storage of data address-based protection against unauthorised use of memory G06F12/14; record carriers for use with machines and with at least a part designed to carry digital markings G06K19/00
• CPC Class Codes: G06F 2212/1044 Space efficiency improvement
• CPC Class Codes: G06F 2212/152 Virtualized environment, e.g. logically partitioned system
• CPC Class Codes: G06F 2212/401 Compressed data
• CPC Class Codes: G06F 2212/402 Encrypted data
• CPC Class Codes: G06F 3/0604 Improving or facilitating administration, e.g. storage management
• CPC Class Codes: G06F 3/0605 by facilitating the interaction with a user or administrator
• CPC Class Codes: G06F 3/0608 Saving storage space on storage systems
• CPC Class Codes: G06F 3/0623 in relation to content
• CPC Class Codes: G06F 3/0631 by allocating resources to storage systems
• CPC Class Codes: G06F 3/0638 Organizing or formatting or addressing of data
• CPC Class Codes: G06F 3/0659 Command handling arrangements, e.g. command buffers, queues, command scheduling
• CPC Class Codes: G06F 3/0661 : Format or protocol conversion arrangements
• CPC Class Codes: G06F 3/0665 : at area level, e.g. provisioning of virtual or logical volumes
• CPC Class Codes: G06F 3/067 : Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
• CPC Class Codes: G06F 3/0673 : Single storage device
• CPC Class Codes: H03M 7/30 : Compression speech analysis-synthesis for redundancy reduction G10L19/00; for image communication H04N; Expansion; Suppression of unnecessary data, e.g. redundancy reduction

Abstract

Systems and methods for compressing a raw logical data object (201) for storage in a storage device operable with at least one storage protocol, creating, reading, writing, optimizatic in and restoring thereof. Compressing the raw logical data object (201) comprises creating in the storage device a compressed logical data object (203) comprising a header (204) and one or more allocated compressed sections with predefined size (205-1-205-2); compressing one or more sequentially obtained chunks of raw data (202-1-202-6) corresponding to the raw logical data object (201) thus giving rise to the compressed data chunks (207-1-207-6); and sequentially accommodating the processed data chunks into: said compressed sections (205-1-205-2) in accordance with an order said chunks received, wherein said compressed sections serve as atomic elements of compression/decompression operations during input/output transactions on the logical data object.

Claims

1. A method for processing a raw logical data object for storage in a storage device coupled to a network, said method comprising:

allocating in the storage device accommodation sections each with a predefined size;

receiving, via the network, variable size chunks of raw data corresponding to the raw logical data object;

comparing a characteristic of a received chunk of the raw data to a predefined criterion related to an estimated or actual time of transformation of the chunk of raw data, the predefined criterion including chunk size, type of data, and a compression algorithm to transform the chunk;

determining if the characteristic matches the predefined criterion;

if the characteristic matches the predefined criterion;

compressing the received chunk of the raw data to transform the data into a transformed form, and

accumulating the compressed data chunk in one of the accommodation sections;

if the characteristic does not match predefined criterion;

identifying the received chunk of raw data as being in a non-transformed or partly transformed form, and

accumulating the non-transformed or partly transformed chunk of raw data in the one of the accommodation sections;

repeating the comparing, determining, and at least one of the compressing step and the identifying step for each subsequently received chunk of raw data, and accumulating subsequent compressed data chunks and non-transformed or partly transformed chunks of raw data until the one of the accommodation sections includes a size matching the predefined size; and

storing the one of the accommodation sections in the storage device, the one of the accommodation sections including the compressed data chunk and the non-transformed or partly transformed chunk of raw data.

2. The method of claim 1, further comprising mapping the data in the raw logical data object to the data stored in the one of the accommodation sections.

3. The method of claim 1, wherein the predefined size is equal for all accommodation sections.

4. The method of claim 1, wherein the predefined size is configurable in accordance with the predefined criterion.

5. The method of claim 1, wherein the compression is provided via an adaptive dictionary, and the data chunks are stored in a same accommodation section via a same dictionary.

6. The method of claim 1, wherein the compression is provided via a plurality of adaptive dictionaries, and at least two data chunks are stored in different accommodation sections via different adaptive dictionaries.

7. The method of claim 1, wherein each accommodation section is associated with a flag indicating a use/re-use condition of a respective physical location of the accommodation section, and each data chunk is associated with a same flag as the accommodation section storing each data chunk.

9. The system of claim 1, further comprising mapping the data in the raw logical data object to the data stored in the one of the accommodation sections.

8. A system for processing a raw logical data object for storage in a storage device coupled to a network, said system comprising:

a processor; and

memory coupled to said processor, wherein the memory is configured to store computer code that, when executed by the processor, causes the processor to;

allocate in the storage device accommodation sections each with a predefined size,

receive, via the network, variable size chunks of raw data corresponding to the raw logical data object,

compare a characteristic of a received chunk of the raw data to a predefined criterion related to an estimated or actual time of transformation of the chunk of raw data, the predefined criterion including chunk size, type of data, and a compression algorithm to transform the chunk,

determine if the characteristic matches the predefined criterion,

if the characteristic matches the predefined criterion;

compress the received chunk of raw data to transform the data into a transformed form, and

accumulate the compressed data chunk in one of the accommodation sections,

if the characteristic does not match the predefined criterion;

identify the received chunk of raw data as being a non-transformed or partly transformed form, and

accumulate the non-transformed or partly transformed chunk of raw data in the one of the accommodation sections,

repeat the compare, determine, and at least one of the compress and the identify steps for each subsequently received chunk of raw data, and accumulate subsequent compressed data chunks and non-transformed or partly transformed chunks of raw data until the accommodation section includes a size matching the predefined size, and

store the one of the accommodation sections in the storage device, the one of the accommodation sections including the compressed data chunk and the non-transformed or partly transformed chunk of raw data.

10. The system of claim 8, wherein the predefined size is equal for all accommodation sections.

11. The system of claim 8, wherein the predefined size is configurable in accordance with the predefined criterion.

12. The system of claim 8, further comprising an adaptive dictionary, wherein compression is provided via an adaptive dictionary, and the data chunks are stored in a same accommodation section via a same dictionary.

13. The system of claim 8, further comprising a plurality of adaptive dictionaries, wherein compression is provided via the plurality of adaptive dictionaries, and at least two data chunks are stored in different ones of the accommodation sections via different adaptive dictionaries.

14. The system of claim 8, wherein each accommodation section is associated with a flag indicating a use/re-use condition of a respective physical location of the accommodation section, and each data chunk is associated with a same flag as the accommodation section storing each data chunk.

15. A computer program product comprising a computer useable medium including a computer readable program code embodied therein for processing a raw logical data object for storage in a storage device coupled to a network, said computer program product comprising:

computer code for allocating in the storage device accommodation sections each with a predefined size;

computer code for receiving, via the network, variable size chunks of raw data corresponding to the raw logical data object;

computer code for comparing a characteristic of a received chunk of the raw data to a predefined criterion related to an estimated or actual time of transformation of the chunk of raw data, the predefined criterion including chunk size, type of data, and a compression algorithm to transform the chunk;

computer code for determining if the characteristic matches the predefined criterion;

if the characteristic matches the predefined criterion;

computer code for compressing the received chunk of raw data to transform the data into a transformed form, and

computer code for accumulating the compressed data chunk in one of the accommodation sections;

if the characteristic does not match the predefined criterion;

computer code for identifying the received chunk of raw data as being in a non-transformed or partly transformed form, and

computer code for accumulating the non-transformed or partly transformed chunk of raw data in the one of the accommodation sections;

computer code for repeating the comparing step, the determining step, and at least one of the compressing step and the identifying step for each subsequently received chunk of raw data and accumulating subsequent compressed data chunks and non-transformed or partly transformed chunks of raw data until the one of the accommodation sections includes a size matching the predefined size; and

computer code for storing the one of the accommodation sections in the storage device, the one of the accommodation sections including the compressed data chunk and the non-transformed or partly transformed chunk of raw data.

16. The computer program product of claim 15, further comprising computer code for mapping the data in the raw logical data object to the data stored in the one of the accommodation sections.

17. The computer program product of claim 15, wherein the predefined size is equal for all accommodation sections.

18. The computer program product of claim 15, wherein the predefined size is configurable in accordance with the predefined criterion.

19. The computer program product of claim 15, wherein the compression is provided via an adaptive dictionary, and the data chunks are stored in a same accommodation section via a same dictionary.

20. The computer program product of claim 15, wherein the compression is provided via a plurality of adaptive dictionaries, and at least two data chunks are stored in different ones of the accommodation sections via different adaptive dictionaries.

21. The computer program product of claim 15, wherein each accommodation section is associated with a flag indicating a use/re-use condition of a respective physical location of the accommodation section, and each data chunk is associated with a same flag as the accommodation section storing each data chunk.