| 基于参数优化的Hadoop云计算平台 |
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| 引用本文： | 李寒,唐兴兴. 基于参数优化的Hadoop云计算平台[J]. 计算机系统应用, 2013, 22(3): 21-24 |
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| 作者姓名： | 李寒 唐兴兴 |
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| 作者单位： | 桂林电子科技大学 计算机科学与工程学院, 桂林 541004;桂林电子科技大学 计算机科学与工程学院, 桂林 541004 |
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| 摘 要： | 传统的数据分析,很难满足现阶段大数据处理效率的要求.Hadoop云计算技术的应用,实现了海量数据存储和分析,提高了数据存储和分析的效率.在总结传统系统利弊的基础上,以Hadoop分布式文件系统(HDFS)取代现有的单机数据存储,以map/reduce应用程序取代传统的单机数据分析,并对其做出优化.实验证明,Hadoop系统架构在生产上部署、投入使用的可行性.
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| 关 键 词： | 云计算 Hadoop 数据分析 map/reduce |
| 收稿时间： | 2012-08-07 |
| 修稿时间： | 2012-09-11 |
Hadoop Cloud Computing Model Based on Parameters Optimization |
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| LI Han and TANG Xing-Xing. Hadoop Cloud Computing Model Based on Parameters Optimization[J]. Computer Systems& Applications, 2013, 22(3): 21-24 |
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| Authors: | LI Han and TANG Xing-Xing |
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| Affiliation: | School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China;School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China |
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| Abstract: | The traditional data analysis, it is difficult to meet data processing efficiency requirements at this stage. Application of Hadoop cloud computing technology, realization of data storage and analysis, improve the efficiency of data storage and analysis. This paper is on the basis of summing up the pros and cons of traditional system, with Hadoop Distributed File System (HDFS) to replace the existing stand-alone data storage, map/reduce application instead of the traditional stand-alone data analysis, and make the optimization. The experiment approves that the feasibility of Hadoop system architecture in the production deployment and using. |
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| Keywords: | cloud computing Hadoop data analysis map/reduce |
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