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Received:October 13, 2010 Revised:November 12, 2010
Received:October 13, 2010 Revised:November 12, 2010
中文摘要: 针对传统的海量数据处理方法硬件成本太高，并行程序编写困难的缺点，在云计算理论的基础上设计了一个用于处理海量数据的校园云计算系统。此云计算系统是在Hadoop 分布式计算框架的基础上采用Map-Reduce 编程模型实现对海量数据的并行处理，有效解决了成本问题，降低了并行编程的难度。
中文关键词: 云计算 分布式计算 海量数据 Hadoop Map-Reduce
Abstract:As the traditional method of massive data processing has shortcomings of high cost in hardware and the
difficulties in parallel programming, a campus cloud computing system platform to handle massive data is designed
based on the theory of cloud computing. This cloud computing system is based on the Hadoop distributed computing
framework, using map-reduce programming model achieve parallel processing of the massive data. This system can save
cost and reduce the difficulty of parallel programming.
文章编号： 中图分类号： 文献标志码：
基金项目:国家自然科学基金(90818028)
引用文本：
曹风兵,吴开贵,吴长泽.基于Hadoop 的校园云计算系统.计算机系统应用,2011,20(6):6-11,5
CAO Feng-Bing,WU Kai-Gui,WU Chang-Ze.Cloud System for Campus Based on Hadoop.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):6-11,5
曹风兵,吴开贵,吴长泽.基于Hadoop 的校园云计算系统.计算机系统应用,2011,20(6):6-11,5
CAO Feng-Bing,WU Kai-Gui,WU Chang-Ze.Cloud System for Campus Based on Hadoop.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):6-11,5
