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Hmfs: Efficient Support of Small Files Processing over HDFS

机译:HMFS:高效支持HDFS的小文件处理

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The storage and access of massive small files are one of the challenges in the design of distributed file system. Hadoop distributed file system (HDFS) is primarily designed for reliable storage and fast access of very big files while it suffers a performance penalty with increasing number of small files. A middleware called Hmfs is proposed in this paper to improve the efficiency of storing and accessing small files on HDFS. It is made up of three layers, file operation interfaces to make it easier for software developers to submit different file requests, file management tasks to merge small files into big ones or extract small files from big ones in the background, and file buffers to improve the I/O performance. Hmfs boosts the file upload speed by using asynchronous write mechanism and the file download speed by adopting prefetching and caching strategy. The experimental results show that Hmfs can help to obtain high speed of storage and access for massive small files on HDFS.
机译:大规模小文件的存储和访问是分布式文件系统设计中的挑战之一。 Hadoop分布式文件系统(HDFS)主要设计用于非常大文件的可靠存储和快速访问,而越来越多的小文件遭受性能损失。本文提出了一种名为HMFS的中间件,提高了在HDFS上存储和访问小文件的效率。它由三层组成,文件操作接口使软件开发人员更容易提交不同的文件请求,文件管理任务将小文件合并到大型或从背景中的大型中提取小文件,以及提高文件缓冲区的文件缓冲区I / O性能。通过采用预取和缓存策略,通过使用异步写机制和文件下载速度来提高文件上传速度。实验结果表明,HMFS可以帮助获得高速存储的高速存储和访问HDFS。

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