A New Design of Binary MDS Array Codes with Asymptotically Weak-Optimal Repair
Hanxu Hou, Yunghsiang Han, Patrick P. C. Lee, Yuchong Hu, Hui Li

TL;DR
This paper introduces two explicit binary MDS array code constructions with more parity columns that achieve asymptotically weak-optimal repair bandwidth, improving repair efficiency in distributed storage systems.
Contribution
The paper presents novel binary MDS array codes with more parity columns that attain asymptotically weak-optimal repair bandwidth for any single column failure.
Findings
Codes with odd parity columns achieve weak-optimal repair for one failure.
Codes with even parity columns achieve weak-optimal repair for any one failure.
Repair bandwidth approaches the theoretical lower bound asymptotically.
Abstract
Binary maximum distance separable (MDS) array codes are a special class of erasure codes for distributed storage that not only provide fault tolerance with minimum storage redundancy but also achieve low computational complexity. They are constructed by encoding information columns into parity columns, in which each element in a column is a bit, such that any out of the columns suffice to recover all information bits. In addition to providing fault tolerance, it is critical to improve repair performance in practical applications. Specifically, if a single column fails, our goal is to minimize the repair bandwidth by downloading the least amount of bits from healthy columns, where . If one column of an MDS code is failed, it is known that we need to download at least fraction of the data stored in each of healthy columns. If this…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Caching and Content Delivery · Cellular Automata and Applications
