Constructions of maximally recoverable local reconstruction codes via function fields
Venkatesan Guruswami, Lingfei Jin, Chaoping Xing

TL;DR
This paper introduces a function field-based method to construct maximally recoverable local reconstruction codes (MR LRCs), significantly reducing the required field size and unifying previous approaches for better fault tolerance in data storage.
Contribution
The paper presents a novel approach using function fields to construct MR LRCs with smaller field sizes, improving upon previous methods across various parameter regimes.
Findings
Reduced field size from exponential to polynomial in certain regimes
Improved field size quadratically for the case of a=1
Unified construction approach applicable to multiple parameter settings
Abstract
Local Reconstruction Codes (LRCs) allow for recovery from a small number of erasures in a local manner based on just a few other codeword symbols. A maximally recoverable (MR) LRC offers the best possible blend of such local and global fault tolerance, guaranteeing recovery from all erasure patterns which are information-theoretically correctable given the presence of local recovery groups. In an -LRC, the codeword symbols are partitioned into disjoint groups each of which include local parity checks capable of locally correcting erasures. MR LRCs have received much attention recently, with many explicit constructions covering different regimes of parameters. Unfortunately, all known constructions require a large field size that exponential in or , and it is of interest to obtain MR LRCs of minimal possible field size. In this work, we develop an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
