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...
Saved in:
Main Authors: | , , |
---|---|
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 |