Hadoop Based Data Processing Method and Its Application on Braille Identification

N. Li, Li-Rong Wang, Meng Zhang, Huan Zhang
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引用次数: 2

Abstract

It is not so efficient to store and manage massive data with traditional distributed database architecture. Hadoop, as an open source framework, is suitable for data distributed storage and management on a group of cheap machines. Based on the research of open source frameworks of Hadoop, a kind of massive data processing model based on Hadoop is provided in this paper, and its application on Braille identification is introduced. The paper also provides a test scheme for I/O performance of this data processing model under different numbers of data node and different copy coefficient and block size. The test results show that, the model provides high efficiency for large scale of data processing.
基于Hadoop的数据处理方法及其在盲文识别中的应用
传统的分布式数据库架构对海量数据的存储和管理效率不高。Hadoop作为一个开源框架,适合在一组廉价机器上进行数据的分布式存储和管理。本文在对Hadoop开源框架进行研究的基础上,提出了一种基于Hadoop的海量数据处理模型,并介绍了其在盲文识别中的应用。本文还提供了该数据处理模型在不同数据节点数、不同拷贝系数和块大小下的I/O性能测试方案。测试结果表明,该模型为大规模数据处理提供了高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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