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An Efficient Metadata Management Method in Large Distributed Storage Systems

机译:大型分布式存储系统中的高效元数据管理方法

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Efficient metadata management is a critical aspect of overall system performance in large distributed storage systems. Directory subtree partitioning and traditional hashing are two common techniques used for managing metadata in such systems, but both have some shortcomings, for example, in directory subtree partitioning method, the root node easily becomes a bottleneck, and for traditional hashing, a large directory hierarchy must be maintained and traversed. In this paper, we present a new method called directory-level-based metadata management that has high efficiency while avoiding the shortcomings of traditional methods.
机译:高效元数据管理是大型分布式存储系统中整体系统性能的关键方面。目录子树分区和传统散列是用于管理此类系统中元数据的两个常见技术,但两者都具有一些缺点,例如,在目录子树分区方法中,根节点很容易成为一个瓶颈,并且对于传统的哈希,一个大目录层次结构必须保持和遍历。在本文中,我们提出了一种称为基于目录级的元数据管理的新方法,其具有高效率,同时避免了传统方法的缺点。

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