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Access-optimal Linear MDS Convertible Codes for All Parameters

机译:所有参数的访问最佳线性MDS可转换代码

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In large-scale distributed storage systems, erasure codes are used to achieve fault tolerance in the face of node failures. Tuning code redundancy to observed failure rates has been shown to significantly reduce storage cost. Such tuning of redundancy requires code conversion, i.e., a change in code dimension and length on already encoded data. Convertible codes [2] are a new class of codes designed to perform such conversions efficiently. The access cost of conversion is the number of nodes accessed during conversion.Existing literature has characterized the access cost of conversion of linear MDS convertible codes only for a specific and small subset of parameters. In this paper, we present lower bounds on the access cost of conversion of linear MDS codes for all valid parameters. Furthermore, we show that these lower bounds are tight by presenting an explicit construction for access-optimal linear MDS convertible codes for all valid parameters. En route, we show that, one of the degrees-of-freedom in the design of convertible codes that was inconsequential in the previously studied parameter regimes, turns out to be crucial when going beyond these regimes and adds to the challenge in the analysis and code construction.An extended version of this paper is accessible at: [1]
机译:在大规模分布式存储系统中,面对节点故障,使用擦除代码来实现容错能力。已经表明,将代码冗余调整为观察到的故障率可以显着降低存储成本。这样的冗余调整需要代码转换,即,已经编码的数据的代码尺寸和长度的改变。可转换代码[2]是一类旨在有效执行此类转换的新代码。转换的访问成本是转换期间访问的节点数。现有文献仅对线性MDS可转换代码的转换访问成本进行了描述,仅针对特定且较小的参数子集。在本文中,我们提出了对所有有效参数进行线性MDS代码转换的访问成本的下限。此外,我们通过为所有有效参数提供访问最佳线性MDS可转换代码的显式构造,证明了这些下限是紧密的。在途中,我们表明,可转换代码设计中的自由度之一在先前研究的参数体系中是无关紧要的,当超越这些体系时,事实证明至关重要,这给分析和分析带来了挑战。代码构造。可以在以下位置访问本文的扩展版本:[1]

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