Rack-Aware MSR Codes with Linear Field Size and Smaller Sub-Packetization for Tolerating Multiple Erasures
Hengming Zhao, Dianhua Wu, Minquan Cheng

TL;DR
This paper introduces new rack-aware MSR codes with linear field size and reduced sub-packetization, capable of efficiently repairing multiple failed nodes within a rack in distributed storage systems.
Contribution
It presents the first class of rack-aware MSR codes for all relevant parameters with small sub-packetization and linear field size, improving repair bandwidth and access efficiency.
Findings
Achieves optimal repair bandwidth for certain failed nodes.
Constructs codes with smaller sub-packetization than existing solutions.
Provides explicit code constructions for all admissible parameters.
Abstract
In an rack-aware storage model, the system consists of nodes uniformly distributed across successive racks, such that each rack contains nodes of equal capacity and the reconstructive degree satisfies where . Suppose there are failed nodes in a rack (called the host rack). Then together with its surviving nodes, the host rack downloads recovery data from helper racks and repairs its failed nodes. In this paper, we focus on studying the rack-aware minimum storage generating (MSR) codes for repairing failed nodes within the same rack. By using the coupled-layer construction with the alignment technique, we construct the first class of rack-aware MSR codes for all which achieve the small sub-packetization where the field size …
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