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基于Hadoop的海量教学资源存储平台的设计与研究 被引量:5

Design and Research of the Mass Teaching Resources Storage Platform Based on Hadoop
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摘要 随着教学资源的飞速增长,海量数据的存储已经成为高校研究的一个新难题。针对传统存储架构已突显管理数据资源效率不高和存储能力不足的问题。本文提出基于Hadoop的海量数据存储模型,并在此模型的基础上设计并实现了基于Hadoop的大规模分布式存储管理平台。事实证明,该平台能够有效完成海量数据的管理和分析任务,提高海量数据处理的效率。 With the rapid growth of teaching resources,the massive data storage has become a new problem in college research.For the traditional storage architecture,the low efficiency of data management and the shortage for storage capacity are more obvious.This paper proposes on the mass data storage model based on Hadoop.And depending on this model,the massive distributed storage management platform is designed and implemented based on Hadoop.It is proved that the platform can effectively accomplish the massive data management and analysis tasks,and improve the data processing efficiency.
作者 柳俊 Liu Jun(Wuhan Vocation Institute of Shipping Technology,Wuhan 430050,Hubei)
出处 《电脑与电信》 2013年第7期27-29,32,共4页 Computer & Telecommunication
基金 湖北省教育科学"十一五"规划专项资助课题 项目编号:2009B441
关键词 HADOOP 海量教学资源 分布式计算 MAPREDUCE Hadoop mass teaching resources distributed computation MapReduce
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