On Low Field Size Constructions of Access-Optimal Convertible Codes
Saransh Chopra, Francisco Maturana, K. V. Rashmi

TL;DR
This paper improves the understanding of field size requirements for access-optimal convertible codes in storage systems, providing explicit constructions for low field sizes and sharper bounds, thus enhancing practical applicability.
Contribution
It offers sharper bounds on minimum field size and explicit constructions for low field sizes of access-optimal convertible codes, addressing practical implementation challenges.
Findings
Sharper bounds on field size requirements.
Explicit constructions for low field size codes.
Proof of super-regularity of Vandermonde matrices.
Abstract
Most large-scale storage systems employ erasure coding to provide resilience against disk failures. Recent work has shown that tuning this redundancy to changes in disk failure rates leads to substantial storage savings. This process requires code conversion, wherein data encoded using an initial code has to be transformed into data encoded using an final code, a resource-intensive operation. Convertible codes are a class of codes that enable efficient code conversion while maintaining other desirable properties. In this paper, we focus on the access cost of conversion (total number of code symbols accessed in the conversion process) and on an important subclass of conversions known as the merge regime (combining multiple initial codewords into a single final codeword). In this setting, explicit constructions are…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Coding theory and cryptography · Cellular Automata and Applications
