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An Exponential Lower Bound on the Sub-Packetization of MSR Codes

机译:MSR码子打包的指数下界

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An ( n k ) -vector MDS code is a F -linear subspace of ( F ) n (for some field F ) of dimension k , such that any k (vector) symbols of the codeword suffice to determine the remaining r = n ? k (vector) symbols. The length of each codeword symbol is called the sub-packetization of the code. Such a code is called minimum storage regenerating (MSR), if any single symbol of a codeword can be recovered by downloading r field elements (which is known to be the least possible) from each of the other symbols.MSR codes are attractive for use in distributed storage systems, and by now a variety of ingenious constructions of MSR codes are available. However, they all suffer from exponentially large sub-packetization of at least r k r . Our main result is an almost tight lower bound showing that for an MSR code, one must have exp ( ( k r )) . Previously, a lower bound of exp ( k r ) , and a tight lower bound for a restricted class of optimal access MSR codes, were known. Our work settles a key question concerning MSR codes that has received much attention, with a short proof hinging on one key definition that is somewhat inspired by Galois theory.
机译:(n k)个矢量MDS代码是维数为k的(F)n(对于某些场F)的F线性子空间,使得该码字的任何k个(矢量)符号足以确定剩余的r = n? k个(矢量)符号。每个代码字符号的长度称为代码的子分组化。如果可以通过从其他每个符号中下载r个字段元素(已知是最小的可能)来恢复码字的任何单个符号,则这种代码称为最小存储再生(MSR)。在分布式存储系统中,到目前为止,可以使用多种巧妙的MSR代码构造。然而,它们全部遭受至少r k r的指数大子分组的困扰。我们的主要结果是几乎紧迫的下限,表明对于MSR代码,必须具有exp((k r))。以前,已知exp(k r)的下限和最佳访问MSR码的受限类的严格下限。我们的工作解决了一个备受关注的有关MSR代码的关键问题,在一个受Galois理论启发的关键定义上提供了简短的证明。

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