| 面向大数据的数字图书馆数据库缓存模型设计 |
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| 引用本文： | 王敬东.面向大数据的数字图书馆数据库缓存模型设计[J].图书情报工作,2014,58(22):95. |
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| 作者姓名： | 王敬东 |
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| 作者单位： | 1. 中国科学院文献情报中心;
2. 中国科学院大学;
3. 东北电力大学信息工程学院 |
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| 基金项目： | 本文系国家自然科学基金项目“知识可视化模型及知识发现策略研究”(项目编号:51277023)研究成果之一. |
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| 摘 要： | 设计面向大数据的数字图书馆信息系统数据库缓存模型,从模型的功能架构、运行流程方面进行介绍,规定应用程序接口,在尽可能不改动数字图书馆信息系统原程序的基础上,实现用户操作序列或进程行为序列的捕捉,并使用HammerOra数据库测试工具对本模型进行测试,结果证明缓存模型适合处理数字图书馆海量信息系统产生的数据,具有良好的经济性和有效性.
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| 关 键 词： | 大数据 缓存模型 数字图书馆 |
| 收稿时间： | 2014-09-15 |
Design of Digital Library Database Cache Model Oriented to Big Data |
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| Wang Jingdong.Design of Digital Library Database Cache Model Oriented to Big Data[J].Library and Information Service,2014,58(22):95. |
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| Authors: | Wang Jingdong |
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| Institution: | 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
2. University of Chinese Academy of Sciences, Beijing 100190;
3. School of Electronic and Computer Engineering, Northeast Dianli University, Jilin 132012 |
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| Abstract: | This paper designs a digital library database cache model oriented to big data, introduces model's functional architecture and operation process, and defines the application program interface. Then it realizes to capture user's operating sequence or process behavior sequence based on the exsiting library information system programming. At last, the model is tested by HammerOra that is a database test tool. The result demonstrates the model is suitable for processing data generated by massive information systemof digital library and it is economic and effective. |
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| Keywords: | big data caching model digital library |
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