Construction of Locally Repairable Array Codes with Optimal Repair Bandwidth under the Rack-Aware Storage Model
Yumeng Yang, Han Cai, Xiaohu Tang
TL;DR
This work addresses efficient repair in rack-aware distributed storage by extending locally repairable codes (LRCs) to a rack-based, array-code setting. It generalizes the Tamo-Barg framework using good polynomials to achieve $ (r,u-r+1) $-locality within each rack and combines with regenerating-code ideas to enable bandwidth-efficient repairs when multiple racks are affected. The paper provides (i) a generic construction yielding $(n=u\bar{n}, r\bar{k}; l)$ LRCs with $(r,u-r+1)$-locality, (ii) a detailed repair mechanism that achieves the rack-aware cut-set bound for cross-rack repairs, and (iii) an explicit bandwidth-optimal family inspired by MSR codes, enabling optimal repair of a single overloaded rack. This work broadens the applicability of rack-aware codes by enabling diverse erasure patterns with low cross-rack bandwidth, which is crucial for scalable, fault-tolerant distributed storage systems.
Abstract
In this paper, we discuss codes for distributed storage systems with hierarchical repair properties. Specifically, we devote attention to the repair problem of the rack-aware storage model with locality, aiming to enhance the system's ability to repair a small number of erasures within each rack by locality and efficiently handling a rack erasure with a small repair bandwidth. By employing the regenerating coding technique, we construct a family of array codes with $(r,u-r+1)$-locality, where the $u$ nodes of each repair set are systematically organized into a rack. When the number of failures is less than $u - r + 1$, these failures can be repaired without counting the system bandwidth. In cases where the number of failures exceeds the locality, the failed nodes within a single rack can be recovered with optimal cross-rack bandwidth.
