Bandwidth Cost of Locally Repairable Convertible Codes in the Global Merge Regime
Saransh Chopra, Shubhransh Singhvi, K.V. Rashmi

TL;DR
This paper investigates the fundamental limits on the bandwidth cost of converting between locally repairable codes in distributed storage, establishing bounds and demonstrating the optimality of existing constructions in the global merge regime.
Contribution
It derives the first non-trivial, linearity-independent lower bounds on bandwidth cost for code conversion in the global merge regime, confirming the optimality of prior constructions.
Findings
Established non-trivial lower bounds on bandwidth cost for code conversion.
Proved existing code constructions are bandwidth-optimal in the studied regime.
Extended information-theoretic modeling to locally repairable codes.
Abstract
Recent studies have shown that distributed storage systems can achieve significant space savings by adapting redundancy levels to varying disk failure rates. This adaptation is performed via code conversion, wherein data encoded under an initial code are transformed to data encoded under a final code. While this process is typically resource-intensive, convertible codes are designed to enable these transformations efficiently while preserving desirable decodability constraints such as repair degree, or the number of nodes accessed during node repair. In this work, we focus on the bandwidth cost of conversion, or the total amount of data transferred during the conversion process. We study fundamental limits on the bandwidth cost of conversion between systematic optimal-distance Locally Repairable Codes (LRCs). We restrict our focus to the global merge regime, in which multiple initial…
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