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基于Hadoop的海量电信数据云计算平台研究
引用本文:黎宏剑,刘恒,黄广文,卜立.基于Hadoop的海量电信数据云计算平台研究[J].电信科学,2012,28(8):80-85.
作者姓名:黎宏剑  刘恒  黄广文  卜立
作者单位:中国移动通信集团广东有限公司中山分公司 中山528403
摘    要:传统的数据分析方法面对海量电信数据存在管理和分析难的问题.Hadoop是一个可实现大规模分布式计算的开源框架,具有高效、可靠、可伸缩的优点,被广泛应用于云计算领域.本文在对云计算和Hadoop进行分析和研究的基础上,提出了一种针对海量电信数据的分布式云计算方法,建立了基于Hadoop的海量电信数据云计算平台.实验证明,该平台能够有效完成海量数据的管理和分析任务,提高海量数据分析的速度和效率.

关 键 词:云计算平台  Hadoop  MapReduce  海量数据  电信运营商

Study on Massive Telecom Data Cloud Computing Platform Based on Hadoop
Li Hongjian , Liu Heng , Huang Guangwen , Bu Li.Study on Massive Telecom Data Cloud Computing Platform Based on Hadoop[J].Telecommunications Science,2012,28(8):80-85.
Authors:Li Hongjian  Liu Heng  Huang Guangwen  Bu Li
Affiliation:(Zhongshan Branch of China Mobile Group Guangdong Co.,Ltd.,Zhongshan 528403,China)
Abstract:The traditional data analysis methods have difficulty in the face of the massive data management and analysis.Hadoop is a large-scale distributed computing framework,has the advantages of high efficient,reliable and scalable,is widely used in cloud computing.In this paper,based on the analysis and research of cloud computing and Hadoop,a distributed cloud computing method is proposed in the light of massive telecom data and a massive telecom data cloud computing platform based on Hadoop is built.The experimental results show the platform can effectively solve the problem of data management and analysis tasks and improve the speed and efficiency of massive data analysis.
Keywords:cloud computing platform  Hadoop  MapReduce  massive data  telecom operator
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