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Constructions of Optimal Binary Locally Repairable Codes With Multiple Repair Groups

机译:具有多个修复组的最佳二进制局部可修复代码的构造

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In distributed storage systems, locally repairable codes (LRCs) have attracted lots of interest recently. If a code symbol can be repaired respectively by disjoint groups of other symbols, each of which has size at most , we say that the code symbol has -locality. LDPC codes are linear block codes defined by low-density parity-check matrices. A regular -LDPC code has the parity-check matrix with uniform column weight and uniform row weight . In this letter, we employ regular LDPC codes to construct optimal binary LRCs with -locality for information symbols. After proposing construction frameworks, three detailed constructions of binary LRCs with information locality are obtained, all of which have a single parity symbol in each repair group. All our codes attain the distance bounds of LRCs when each repair group contains a single parity symbol and thus are optimal. For storage systems with hot data, the proposed binary LRCs seem promising for system implementations since the encoding, repairing, parallel reading, and data reconstruction can be performed by simple XOR operations.
机译:在分布式存储系统中,本地可修复代码(LRC)最近引起了很多兴趣。如果一个代码符号可以由其他符号的不相交的组分别修复,每个符号的大小最大为,则可以说该代码符号具有-locality。 LDPC码是由低密度奇偶校验矩阵定义的线性分组码。常规的LDPC码具有奇偶校验矩阵,具有均匀的列权重和均匀的行权重。在这封信中,我们使用常规的LDPC码来构造具有-locality的信息符号的最佳二进制LRC。在提出构造框架之后,获得了三个具有信息局部性的二进制LRC的详细构造,所有这些构造在每个维修组中都有一个奇偶校验符号。当每个维修组包含一个奇偶校验符号时,我们的所有代码均达到LRC的距离范围,因此是最佳的。对于具有热数据的存储系统,由于可以通过简单的XOR操作执行编码,修复,并行读取和数据重构,因此所提出的二进制LRC对于系统实现而言似乎很有希望。

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