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arXiv 1102.3493cs.ITcs.DCmath.IT
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分布式存储系统中分数重复码的可扩展构造

Scalable constructions of fractional repetition codes in distributed storage systems

Joseph C. Koo, John Gill

摘要:

在使用商用硬件构建的分布式存储系统中,为了确保系统的可靠性,需要具有数据冗余。在这样的系统中,通常还期望能够快速修复故障的存储节点。我们考虑一个计划-介绍了El Rouayheb和Ramchandran-它使用组合块设计,以设计存储系统,使有效的(和准确的)节点修复。在这项工作中,我们调查的系统中,节点的大小可能远远大于复制度,并明确提供算法来构建这些存储设计。我们的设计,这是相关的射影几何,是基于建设的二分笼图(周长6)和相互正交的拉丁广场的概念。通过这些结构,我们可以保证所得到的设计需要最少数量的存储节点给定的参数,并可以进一步表明,这些系统可以很容易地扩展,而不需要频繁的重新配置。

英文摘要:

In distributed storage systems built using commodity hardware, it is necessary to have data redundancy in order to ensure system reliability. In such systems, it is also often desirable to be able to quickly repair storage nodes that fail. We consider a scheme--introduced by El Rouayheb and Ramchandran--which uses combinatorial block design in order to design storage systems that enable efficient (and exact) node repair. In this work, we investigate systems where node sizes may be much larger than replication degrees, and explicitly provide algorithms for constructing these storage designs. Our designs, which are related to projective geometries, are based on the construction of bipartite cage graphs (with girth 6) and the concept of mutually-orthogonal Latin squares. Via these constructions, we can guarantee that the resulting designs require the fewest number of storage nodes for the given parameters, and can further show that these systems can be easily expanded without need for frequent reconfiguration.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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