A Faster Read and Less Storage Algorithm for Small Files on Hadoop

Yu Chen, Jun Zhang, Zhicheng Wang, Gejian Liao, Shu Liu, Hai Tan, Guowei Yang, Ying Fang, Shuai Wang, Zhaoqun Sun
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引用次数: 1

Abstract

Massive small files access is the main challenge for the Hadoop Distributed File System. To solve these problems, we present a new Algorithm of archive file, A Faster Read and Less Storage Algorithm for Small Files on Hadoop. A new logical file name is used to identify the file which generated by the pair in the name node. Our experiments show that the algorithm is around 76.6% faster than original HDFS in the time of file storing, and around 31.9.6% faster than original HDFS in the time of file reading, around 73.9% less than original HDFS in the memory consumption of namenode.
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一种基于Hadoop的小文件快速读少存储算法
海量小文件的访问是Hadoop分布式文件系统面临的主要挑战。为了解决这些问题,我们提出了一种新的归档文件算法——Hadoop上小文件的快速读取和更少存储算法。新的逻辑文件名用于在name节点中标识pair生成的文件。我们的实验表明,该算法在文件存储时间上比原HDFS快约76.6%,在文件读取时间上比原HDFS快约31.9.6%,在namenode的内存消耗上比原HDFS少约73.9%。
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