| 基于Hadoop的校园云计算系统 |
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| 引用本文： | 曹风兵,吴开贵,吴长泽.基于Hadoop的校园云计算系统[J].计算机系统应用,2011,20(6):6-11,5. |
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| 作者姓名： | 曹风兵 吴开贵 吴长泽 |
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| 作者单位： | 重庆大学计算机学院,重庆,400044 |
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| 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.
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| 关 键 词： | 云计算 分布式计算 海量数据 Hadoop Map-Reduce |
| 收稿时间： | 2010/10/13 0:00:00 |
| 修稿时间： | 2010/11/12 0:00:00 |
Cloud System for Campus Based on Hadoop |
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| CAO Feng-Bing,WU Kai-Gui and WU Chang-Ze.Cloud System for Campus Based on Hadoop[J].Computer Systems& Applications,2011,20(6):6-11,5. |
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| Authors: | CAO Feng-Bing WU Kai-Gui and WU Chang-Ze |
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| Affiliation: | CAO Feng-Bing,WU Kai-Gui,WU Chang-Ze (College of Computer Science,Chongqing University,Chongqing 400044,China) |
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| 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. |
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| Keywords: | Hadoop Map-Reduce |
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