Layered Encoding With Galois Fourier Transform For Burst Erasure Recovery In Distributed Cloud Storage Systems

Year 2026, Volume: 9 Issue: 1, 147 - 157, 15.01.2026

Mahmut Aykaç

https://doi.org/10.34248/bsengineering.1780039

https://izlik.org/JA64BJ53GB

Abstract

Burst erasures caused by rack level failures, correlated hardware faults, and network partitions challenge the reliability of distributed cloud storage. This article presents a Galois Fourier Transform (GFT) layered encoding of data which is more resistance to these failures and prioritizes the recovery of more important data. The method uses a two layer encoding structure, dividing data into base and enhancement layer. It uses GFT to encode symbols based on the efficiency in the number of nodes. To address burst erasures, a decoder which adaptively recovers base from the preserved encoded fragments is presented. Simulations show that the proposed adaptive decoder method recovers the base layer through severe bursts of the preserved enhanced layer. Therefore, it reveals that field transforms redundancy and operates as a low overhead, priority aware coding solution for future cloud storage systems.

Keywords

Burst erasure recovery , Galois fourier transform , Layered erasure coding , Priority data protection

Ethical Statement

Ethics committee approval was not required for this study because of there was no study on animals or humans.

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