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A new Zigzag MDS code with optimal encoding and efficient decoding

机译:具有最佳编码和有效解码的新的Zigzag MDS代码

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Distributed file system has emerged in recent years as an efficient solution to store the large amount of data produced anytime and anywhere. In order to guarantee data reliability, it is necessary to introduce redundancy to the storage systems. Compared to simple replication, practical systems are increasingly adopting erasure codes for better storage efficiency. However, traditional erasure codes such as maximum-distance-separable (MDS) codes, are designed over a large finite field, which inevitably hinders the wide implementation of erasure codes. In this paper, we propose a new family of MDS codes with high computation efficiency. More specifically, only XOR operation is included in the encoding process to generate parity blocks. Upon failure of a storage node, we use the efficient Zigzag decoding method to recover the failed blocks, which achieves the optimal encoding and an efficient decoding. Furthermore, we implement the proposed codes in a distributed file system, and the results show the high performance of the new codes.
机译:近年来,分布式文件系统已出现作为存储随时随地产生的大量数据的有效解决方案。为了保证数据可靠性,有必要向存储系统引入冗余。与简单复制相比,实用系统越来越多地采用擦除代码以获得更好的存储效率。然而,传统的擦除代码如最大距离可分离(MDS)代码,由大型有限场设计,这不可避免地阻碍了擦除代码的广泛实现。在本文中,我们提出了一种具有高计算效率的新的MDS代码系列。更具体地,仅在编码过程中包括XOR操作以生成奇偶校验块。在存储节点故障后,我们使用高效的ZigAg解码方法来恢复失败的块,这实现了最佳编码和有效的解码。此外,我们在分布式文件系统中实现所提出的代码,结果显示了新代码的高性能。

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