摘要
在企业以海量数据处理能力为核心竞争力之一的时代,云计算技术的出现为此提供了良好的解决方案。首先,研究分析了云计算技术的开源实现Hadoop的核心内容:分布式系统文件HDFS和MapReduce算法模型;然后,通过实例阐述了面向Hadoop的分布式云计算平台的构建,证实了Hadoop是一个更容易开发和并行处理大规模数据的分布式云计算平台;最后,对如何实现Hadoop的高可用性和高效性进行了展望。
In the era of using mass data processing capacity as one of the core competitiveness, the emergence of cloud computing technology provides a good solution for the enterprise. Firstly, analyzes the core content of the Hadoop as the open source realization of cloud computing technology: Hadoop distributed file system (HDFS) and algorithm model MapReduce. Then, elaborates the construction of Hadoop-oriented distributed cloud computing platform through ex- amples and confirms that the Hadoop as a distributed cloud computing platform is more likely to develop and process large data in parallel. Finally, prospects the imolementation of high availabilitv and effficJ^nr'v nf 14~dnnn
出处
《湖南工业大学学报》
2013年第1期77-80,共4页
Journal of Hunan University of Technology
基金
湖南省科技厅科研基金资助项目(2011TP4004-1)
湖南省教育厅科研基金资助项目(11C0398
12C0071)
湖南工业大学科研基金资助项目(2011HZX30)