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Distributed Storage Codes With Repair-by-Transfer and Nonachievability of Interior Points on the Storage-Bandwidth Tradeoff

机译:具有通过传输修复和内部带宽无法实现的分布式存储代码,需要权衡存储带宽

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Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-Solomon codes, permit data recovery from any subset of $k$ nodes within the $n$ -node network. However, regenerating codes possess in addition, the ability to repair a failed node by connecting to an arbitrary subset of $d$ nodes. It has been shown that for the case of functional repair, there is a tradeoff between the amount of data stored per node and the bandwidth required to repair a failed node. A special case of functional repair is exact repair where the replacement node is required to store data identical to that in the failed node. Exact repair is of interest as it greatly simplifies system implementation. The first result of this paper is an explicit, exact-repair code for the point on the storage-bandwidth tradeoff corresponding to the minimum possible repair bandwidth, for the case when $d=n-1$ . This code has a particularly simple graphical description, and most interestingly has the ability to carry out exact repair without any need to perform arithmetic operations. We term this ability of the code to perform repair through mere transfer of data as repair by transfer. The second result of this paper shows that the interior points on the storage-bandwidth tradeoff cannot be achieved under exact repair, thus pointing to the existence of a separate tradeoff under exact repair. Specifically, we identify a set of scenarios which we term as “helper node pooling,” and show that it is the necessity to satisfy such scenarios that overconstrains the system.
机译:再生代码是一类最近开发的用于分布式存储的代码,与Reed-Solomon代码一样,它允许从$ n $节点网络内的$ k $节点的任何子集恢复数据。但是,再生代码还具有通过连接到$ d $节点的任意子集来修复故障节点的能力。已经表明,对于功能性修复,在每个节点上存储的数据量与修复故障节点所需的带宽之间需要权衡。功能修复的一种特殊情况是精确修复,其中需要替换节点来存储与故障节点中相同的数据。精确修复非常重要,因为它可以大大简化系统的实施。本文的第一个结果是在$ d = n-1 $的情况下,针对存储带宽折衷上的点的显式精确修复代码,该点对应于最小可能的修复带宽。该代码具有特别简单的图形描述,最有趣的是,无需执行算术运算即可执行精确修复。我们将代码的这种仅通过数据传输进行修复的能力称为通过传输进行修复。本文的第二个结果表明,在精确修复下无法实现存储带宽权衡的内部点,因此指出在精确修复下存在单独的权衡。具体来说,我们确定了一组称为“帮助节点池”的方案,并表明有必要满足这种对系统过度约束的方案。

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