LIU Shu. Design and research of cloud storage system based on Hadoop[J]. Journal of Light Industry, 2014, 29(5): 60-63. doi: 10.3969/j.issn.2095-476X.2014.05.014
Citation:
LIU Shu. Design and research of cloud storage system based on Hadoop[J]. Journal of Light Industry, 2014, 29(5): 60-63.
doi:
10.3969/j.issn.2095-476X.2014.05.014
Design and research of cloud storage system based on Hadoop
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Received Date:
2014-04-25
Available Online:
2014-09-15
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Abstract
Aiming at the problem of mass data storage and processing, a cloud storage system based on Hadoop was designed.The system established a cloud storage model on the basis of studying the two core technologies of Hadoop including Hadoop distributed file system and programming model MapReduce.The system optimized the computer storage mode,and increased the efficiency of the network bandwidth and disk in the cluster.At the same time,the MapReduce programming framework design made the system have higher performance of computing ability.Through testing and analysis of Hadoop platform using Linux cluster technology, the results showed that the system had the characteristics of low cost, high efficiency, easy extension, safty and reliability, and could meet the requirement of the mass data processing stably and efficiently.
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References
-
[1]
Boutaba R,Cheng L,Zhang Q.On cloud computational models and the heterogeneity challenge[J].Journal of Internet Services and Applications,2012,3(1):77.
-
[2]
周品.Hadoop云计算实战[M].北京:清华大学出版社,2012.
-
[3]
翟岩龙,罗壮,杨凯,等.基于Hadoop的高性能海量数据处理平台研究[J].计算机科学,2013,40(3):100.
-
[4]
马林山,赵庆峰,肖新国.基于Hadoop的云移动信息服务模型研究[J].情报科学,2013,31(4):28.
-
[5]
Bass L,Kazman R,Ozkaya I.Open Source Systems:Grounding Research[M].Berlin:Springer,2011:50-61.
-
[6]
亢丽芸,王效岳,白如江.MapReduce原理及其主要实现平台分析[J].现代图书情报技术,2012(2):60.
-
[7]
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.
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Proportional views
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