Title :
Low-Complexity Array Codes for Random and Clustered 4-Erasures
Author :
Cassuto, Yuval ; Bruck, Jehoshua
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Abstract :
A new family of low-complexity array codes is proposed for correcting 4 column erasures. The new codes are tailored for the new error model of clustered column erasures that captures the properties of high-order failure combinations in storage arrays. The model of clustered column erasures considers the number of erased columns, together with the number of clusters into which they fall, without pre-defining the sizes of the clusters. This model addresses the problem of correlated device failures in storage arrays, whereby each failure event may affect multiple devices in a single cluster. The new codes correct essentially all combinations of clustered 4 erasures, i.e., those combinations that fall into three or less clusters. The new codes are significantly more efficient, in all relevant complexity measures, than the best known 4-erasure correcting codes. These measures include encoding complexity, decoding complexity and update complexity.
Keywords :
error correction codes; telecommunication network reliability; 4-erasure correcting codes; clustered 4-erasures; clustered column erasures; complexity measures; decoding complexity; encoding complexity; erased columns; failure event; high-order failure combinations; low-complexity array codes; random 4-erasures; storage arrays; update complexity; Arrays; Complexity theory; Decoding; Encoding; Polynomials; Redundancy; Shape; Array codes; clustered erasures; correlated failures; storage arrays;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2171518