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Main Authors: Gruica, Anina, Jany, Benjamin, Kruglik, Stanislav
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2601.10341
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author Gruica, Anina
Jany, Benjamin
Kruglik, Stanislav
author_facet Gruica, Anina
Jany, Benjamin
Kruglik, Stanislav
contents Distributed storage systems must handle both data heterogeneity, arising from non-uniform access demands, and device heterogeneity, caused by time-varying node reliability. In this paper, we study convertible codes, which enable the transformation of one code into another with minimum cost in the merge regime, addressing the latter. We derive general lower bounds on the read and write costs of linear code conversion, applicable to arbitrary linear codes. We then focus on Reed-Muller codes, which efficiently handle data heterogeneity, addressing the former issue, and construct explicit conversion procedures that, for the first time, combine both forms of heterogeneity for distributed data storage.
format Preprint
id arxiv_https___arxiv_org_abs_2601_10341
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Convertible Codes for Data and Device Heterogeneity
Gruica, Anina
Jany, Benjamin
Kruglik, Stanislav
Information Theory
Distributed storage systems must handle both data heterogeneity, arising from non-uniform access demands, and device heterogeneity, caused by time-varying node reliability. In this paper, we study convertible codes, which enable the transformation of one code into another with minimum cost in the merge regime, addressing the latter. We derive general lower bounds on the read and write costs of linear code conversion, applicable to arbitrary linear codes. We then focus on Reed-Muller codes, which efficiently handle data heterogeneity, addressing the former issue, and construct explicit conversion procedures that, for the first time, combine both forms of heterogeneity for distributed data storage.
title Convertible Codes for Data and Device Heterogeneity
topic Information Theory
url https://arxiv.org/abs/2601.10341