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An efficient cache management scheme for accessing small files in Distributed File Systems

机译:一种用于访问分布式文件系统中的小文件的有效缓存管理方案

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Recently, the analysis of small files is required to provide individual users with the latest information and optimized services. In this paper, we propose a distributed cache management scheme that considers cache metadata for efficient accesses of small files in Hadoop Distributed File Systems (HDFS). The proposed scheme can reduce the number of metadata managed by a Name Node since many small files are merged and stored in a chunk. It also reduces unnecessary accesses by keeping the requested files using clients and the caches of data nodes and by synchronizing the metadata in client caches according to communication cycles.
机译:最近,需要分析小文件,为单个用户提供最新的信息和优化的服务。在本文中,我们提出了一种分布式缓存管理方案,其考虑了Hadoop分布式文件系统(HDFS)中的小文件的高效访问的缓存元数据。所提出的方案可以减少名称节点管理的元数据的数量,因为许多小文件合并并存储在块中。它还通过将所请求的文件与数据节点的缓存保持并通过客户端缓存中的元数据同步来减少不必要的访问,并通过根据通信周期同步。

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