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arXiv 1702.02685cs.ITcs.DMmath.IT
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局部可恢复码的组合依赖于字母的界

Combinatorial Alphabet-Dependent Bounds for Locally Recoverable Codes

Abhishek Agarwal, Alexander Barg, Sihuang Hu, Arya Mazumdar, Itzhak Tamo

摘要:

局部可恢复(LRC)码由于其理论上的吸引力和在分布式存储系统中的应用,近年来成为编码理论研究的热点。在LRC码中,码字的任何被擦除的符号可以通过仅访问少量的其他符号来恢复。对于小字母表(如二进制)上的LRC码,最佳速率-距离权衡是未知的。我们提出了几个新的LRC码的组合界,包括局部感知球填充和Plotkin界。我们还开发了一种方法,线性规划(LP)界的LRC码。由此产生的LP界给出了更好的估计比其他上界在文献中已知的例子。此外,我们提供了严格的已知上限的线性LRC码的速率与给定的相对距离,以前最好的已知的界限的改进。

英文摘要:

Locally recoverable (LRC) codes have recently been a focus point of research in coding theory due to their theoretical appeal and applications in distributed storage systems. In an LRC code, any erased symbol of a codeword can be recovered by accessing only a small number of other symbols. For LRC codes over a small alphabet (such as binary), the optimal rate-distance trade-off is unknown. We present several new combinatorial bounds on LRC codes including the locality-aware sphere packing and Plotkin bounds. We also develop an approach to linear programming (LP) bounds on LRC codes. The resulting LP bound gives better estimates in examples than the other upper bounds known in the literature. Further, we provide the tightest known upper bound on the rate of linear LRC codes with a given relative distance, an improvement over the previous best known bounds.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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