New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures

A new class of Binary Maximum Distance Separable (MDS) array codes which are based on circular permutation matrices are introduced in this paper. These array codes are used for tolerating multiple (greater than or equal to 4) disk failures in Redundant Arrays of Inexpensive Disks (RAID) architecture...

Full description

Saved in:
Bibliographic Details
Main Authors: FENG, Gui-Liang, DENG, Robert H., Bao, Feng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2005
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/1168
https://ink.library.smu.edu.sg/context/sis_research/article/2167/viewcontent/New_efficient_MDS_array_codes_for_RAID_part_II_Rabin_like_codes_for_tolerating_multiple.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-2167
record_format dspace
spelling sg-smu-ink.sis_research-21672019-04-01T09:35:15Z New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures FENG, Gui-Liang DENG, Robert H. Bao, Feng A new class of Binary Maximum Distance Separable (MDS) array codes which are based on circular permutation matrices are introduced in this paper. These array codes are used for tolerating multiple (greater than or equal to 4) disk failures in Redundant Arrays of Inexpensive Disks (RAID) architecture. The size of the information part is m \times n, where n is the number of information disks and (m+1) is a prime integer; the size of the parity-check part is m \times r, the minimum distance is r+1, and the number of parity-check disks is r. In practical applications, m can be very large and n ranges from 20 to 50. The code rate is R = {\frac{n}{n+r}}. These codes can be used for tolerating up to r disk failures, with very fast encoding and decoding. The complexities of encoding and decoding algorithms are O(rmn) and O(m^3r^4), respectively. When r=4, there need to be 9mn XOR operations for encoding and (9n+95)(m+1) XOR operations for decoding. 2005-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1168 info:doi/10.1109/TC.2005.200 https://ink.library.smu.edu.sg/context/sis_research/article/2167/viewcontent/New_efficient_MDS_array_codes_for_RAID_part_II_Rabin_like_codes_for_tolerating_multiple.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Rabin codes MDS array codes RAID multiple disk failures Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Rabin codes
MDS array codes
RAID
multiple disk failures
Information Security
spellingShingle Rabin codes
MDS array codes
RAID
multiple disk failures
Information Security
FENG, Gui-Liang
DENG, Robert H.
Bao, Feng
New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures
description A new class of Binary Maximum Distance Separable (MDS) array codes which are based on circular permutation matrices are introduced in this paper. These array codes are used for tolerating multiple (greater than or equal to 4) disk failures in Redundant Arrays of Inexpensive Disks (RAID) architecture. The size of the information part is m \times n, where n is the number of information disks and (m+1) is a prime integer; the size of the parity-check part is m \times r, the minimum distance is r+1, and the number of parity-check disks is r. In practical applications, m can be very large and n ranges from 20 to 50. The code rate is R = {\frac{n}{n+r}}. These codes can be used for tolerating up to r disk failures, with very fast encoding and decoding. The complexities of encoding and decoding algorithms are O(rmn) and O(m^3r^4), respectively. When r=4, there need to be 9mn XOR operations for encoding and (9n+95)(m+1) XOR operations for decoding.
format text
author FENG, Gui-Liang
DENG, Robert H.
Bao, Feng
author_facet FENG, Gui-Liang
DENG, Robert H.
Bao, Feng
author_sort FENG, Gui-Liang
title New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures
title_short New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures
title_full New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures
title_fullStr New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures
title_full_unstemmed New efficient MDS array codes for RAID part II: Rabin-like codes for tolerating multiple (>=4) disk failures
title_sort new efficient mds array codes for raid part ii: rabin-like codes for tolerating multiple (>=4) disk failures
publisher Institutional Knowledge at Singapore Management University
publishDate 2005
url https://ink.library.smu.edu.sg/sis_research/1168
https://ink.library.smu.edu.sg/context/sis_research/article/2167/viewcontent/New_efficient_MDS_array_codes_for_RAID_part_II_Rabin_like_codes_for_tolerating_multiple.pdf
_version_ 1770570884975689728