校园信息定制系统的应用研究

发布时间：2018-07-06 17:41

本文选题：云计算 + 校园信息　；参考：《吉林大学》2017年硕士论文

【摘要】：利用高效的信息化技术和先进的网络平台技术与高校教学和管理系统的高度融合,已经被看成高等教育面向全面化发展的必要途径之一,“信息化校园”必定会成为高等教育信息化发展的主流趋势。目前社会上的网络社交软件存在着受众群体广泛,且信息分散不易收集,可信度和可靠性差等问题,缺少针对在校大学生的校园信息定制系统。学校内部虽然有着例如校内网站、公告、论坛等等信息发布与交流的平台,但也存在着发布信息杂乱,信息分散不易收集等诸多问题,如浏览网页信息具有成本高、数据流量大、响应速度慢、针对性不强等缺点。本论文主要是针对大学生应用来进行多模块的定制,以此满足大学生对各个方面信息需求,让学生方便快捷的获取想要了解的信息。为满足高效大数据量存储,故采用云计算平台为数据存储集群。本系统利用Hadoop云计算平台在数据处理方面的优势为基础,共分数据采集、数据解析、数据存储、服务端与Andriod系统的交互为四大功能模块,实现了校园信息定制所需达到的各项功能。在数据采集模块中采用Heritrix网络爬虫进行数据的采集;在数据解析模块中采用HtmlParser对种子URL对应到不同的XML抽取模板,从而提供节点配置信息,采集到网页结构中各项有效数据。在数据存储模块中采用MapReduce做为并行计算模式,建立在HDFS分布式文件系统上的HBase为存储模式。以Hadoop云计算平台为基础架构,对校内办公信息、大学生就业与创业信息和考试通知等,实现了分布式存储和运算。在服务端与Andriod系统交互模块,采取的服务器端技术为Java,利用Struts2框架搭建Web服务器,实现服务端与手机端的数据交换。本文主要对校园信息定制系统的需求分析、系统的个性化定制要求与最终客户端成果的呈现来验证本套系统最终已经完成当初的设计目标。该论文在云计算领域中,对于高校信息化处理的研究具有一定的实际意义。
[Abstract]:The highly integrated use of efficient information technology and advanced network platform technology with the teaching and management system in colleges and universities has been regarded as one of the necessary ways for the overall development of higher education. Information campus is bound to become the mainstream trend of the development of higher education informatization. At present, there are many problems in social network social software, such as wide audience group, difficult to collect information, poor credibility and reliability, and lack of campus information customization system for college students. Although there are many platforms for information dissemination and exchange, such as internal websites, announcements, forums, etc., there are still many problems, such as the disorderly distribution of information and the difficulty of collecting information, such as the high cost of browsing web information. Large data flow, slow response speed, weak pertinence and other shortcomings. This paper is mainly aimed at students should be used to customize the multi-module, so as to meet the information needs of college students in all aspects, so that students can easily and quickly get the information they want to know. In order to satisfy the high efficiency data storage, the cloud computing platform is used as the data storage cluster. Based on the advantages of Hadoop cloud computing platform in data processing, the system is divided into four functional modules: data acquisition, data analysis, data storage, and the interaction between the server and the Andriod system. Realized the campus information customization needs to achieve the various functions. In the data acquisition module, Heritrix network crawler is used to collect data, and HtmlParser is used in the data analysis module to correspond the seed URL to different XML extraction templates, so as to provide node configuration information and collect the effective data in the web page structure. In the data storage module, MapReduce is used as the parallel computing mode, and HBase based on the HDFS distributed file system is used as the storage mode. Based on Hadoop cloud computing platform, distributed storage and operation are realized for office information, college students' employment and entrepreneurship information, examination notice and so on. In the server and Andriod system interaction module, the server technology is Java, using Struts2 framework to build web server, realize the data exchange between server and mobile phone. This paper mainly analyzes the requirements of the campus information customization system, the personalized customization requirements of the system and the presentation of the final client results to verify that the system has finally completed the original design objectives. In the field of cloud computing, this paper has some practical significance for the research of information processing in colleges and universities.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52

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