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Asymptotically Optimal Regenerating Codes Over Any Field

机译:任意域上的渐近最优再生码

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摘要

The study of regenerating codes has advanced tremendously in recent years. However, most known constructions require large field size and, hence, may be hard to implement in practice. By restructuring a code construction by Rashmi et al., we obtain two explicit families regenerating codes. These codes approach the cut-set bound as the reconstruction degree increases and may be realized over any given finite field if the file size is large enough. Essentially, these codes constitute a constructive proof that the cut-set bound does not imply a field size restriction, unlike some known bounds for ordinary linear codes. The first construction attains the cut-set bound at the MBR point asymptotically for all parameters, whereas the second one attains the cut-set bound at the MSR point asymptotically for low-rate parameters. Even though these codes require a large file size, this restriction is trivially satisfied in most conceivable distributed storage scenarios, that are the prominent motivation for regenerating codes.
机译:近年来,再生代码的研究取得了巨大的进步。然而,大多数已知的结构需要大的场尺寸,因此在实践中可能难以实现。通过重构Rashmi等人的代码构造,我们获得了两个显式族重新生成代码。当文件大小足够大时,这些代码会随着重建程度的增加而接近割集边界,并且可以在任何给定的有限域上实现。本质上,与普通线性代码的某些已知边界不同,这些代码构成了一个证明性的证明,即割集边界并不意味着对字段大小的限制。对于所有参数,第一种构造在MBR点处渐近地达到割集界,而对于低速率参数,第二种构造在MSR点处渐近地达到割集界。即使这些代码需要较大的文件大小,但在大多数可能的分布式存储方案中却无法满足此限制,这是重新生成代码的主要动机。

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