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基于Hadoop的校园云存储系统的研究
引用本文:高新成,王莉利. 基于Hadoop的校园云存储系统的研究[J]. 陕西理工学院学报(自然科学版), 2012, 28(4): 30-35
作者姓名:高新成  王莉利
作者单位:1. 东北石油大学现代教育技术中心,黑龙江大庆,163318
2. 东北石油大学计算机与信息技术学院,黑龙江大庆,163318
基金项目:黑龙江省留学归国科学研究基金资助项目
摘    要:针对海量数据的存储问题,传统方法一般是通过购置更多数量的服务器来提升计算和存储能力,存在硬件成本高,存储效率低等缺点。通过对Hadoop框架和MapReduce编程模型等云计算核心技术的分析和研究,提出了一种基于Hadoop框架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的校园云存储系统。经过实验验证,该系统有效地解决了在校园办公、教学和科研过程中遇到的海量数据存储管理问题,具有开发成本低、处理速度较快、运行稳定、易于扩展等特点。

关 键 词:Hadoop  MapReduce  云计算  分布式计算  存储模型

Research of cloud storage system for campus based on Hadoop
GAO Xin-cheng , WANG Li-li. Research of cloud storage system for campus based on Hadoop[J]. Journal of Shananxi University of Technology(Natural Science Edition), 2012, 28(4): 30-35
Authors:GAO Xin-cheng    WANG Li-li
Affiliation:1.Modern Education Technique Center,Northeast Petroleum University,Daqing 163318,China; 2.School of computer & Information Technology,Northeast Petroleum University,Daqing 163318,China)
Abstract:According to the mass data storage problem,traditional methods usually need more servers to increase computing speed and storage ability,while the hardware cost is very expensive and the storage efficiency is low.Through thorough study of MapReduce programming model and Hadoop framework,this paper presented a mass data storage model based on Hadoop framework,then a mass data storage system for campus network based on cloud computing was designed and implemented.This system can effectively solve issues in mass data storage management in teaching and study.This system is cheap,easily operated,fast and stable.
Keywords:Hadoop  MapReduce  cloud computing  distributed computing  storage model
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