Efficiently repairing algebraic geometry codes
Lingfei Jin, Yuan Luo, Chaoping Xing

TL;DR
This paper develops an efficient repair algorithm for algebraic geometry codes, extending Reed-Solomon code repair methods, and demonstrates their effectiveness as regenerating codes with near-minimum storage and good parameters.
Contribution
It generalizes Reed-Solomon repair algorithms to algebraic geometry codes, enabling efficient repair with near-minimum storage and improved parameters, especially for Hermitian codes.
Findings
Algebraic geometry codes can be used as regenerating codes with good parameters.
Hermitian codes outperform Reed-Solomon codes for certain parameters.
The proposed repair algorithm is efficient for one-point algebraic geometry codes.
Abstract
Minimum storage regenerating codes have minimum storage of data in each node and therefore are maximal distance separable (MDS for short) codes. Thus, the number of nodes is upper bounded by , where is the bits of data stored in each node. From both theoretical and practical points of view (see the details in Section 1), it is natural to consider regenerating codes that nearly have minimum storage of data, and meanwhile the number of nodes is unbounded. One of the candidates for such regenerating codes is an algebraic geometry code. In this paper, we generalize the repairing algorithm of Reed-Solomon codes given in \cite[STOC2016]{GW16} to algebraic geometry codes and present an efficient repairing algorithm for arbitrary one-point algebraic geometry codes. By applying our repairing algorithm to the one-point algebraic geometry codes based on the Garcia-Stichtenoth tower,…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Cellular Automata and Applications · Coding theory and cryptography
