综合论文训练管理系统中海量数据上载的设计与实现.docx

综合论文训练管理系统中海量数据上载的设计与实现
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1
(,北京 ,北京

100084)
摘

要:清华大学综合论文训练管理系统面向本科生教学,通过了基于 B/S 的海量数据上载
方法实现了电子论文的提交和审核。海量数据上载采用 Hibernate 的大数据字段访问、文件
缓存的海量数据传输、大文件传输的并发访问控制和 Oracle 数据库的海量数据存储等关键
技术,解决了传统海量数据上载在存储、断点续传、网络传输、并发控制等多方面的不足,
并在清华大学的实践中获得了良好的应用。
关键词: 综合论文训练、海量数据上载、并发控制
The Design and Implementation of mass data uploading for
synthesis thesis training management system
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(1. Computer and Information management Center, Tsinghua University, Beijing, 100084;
Administration Office, Tsinghua University, Beijing, 100084)
Abstract:The synthesis thesis training management system of Tsinghua University achieves the
electronic submission and review thesis through the technology of mass data uploading. Mass data
uploading uses a lot of key technologies, include large data access of Hibernate, file cache of
massive data transmission, concurrency controls of file transfer and massive data storage of Oracle
database, to make up for lack of traditional mass data uploading in storage, transmission and
concurrency controls, get the better result in practice of Tsinghua University.
Keyword:synthesis thesis training, mass data uploading, concurrency controls
意义及学术价值,为今后相关学科的研究和
1 系统背景
清华大学的综合论文训练环节综合反映
了学生本科四年的学是高校整体教学水平的集中体现,是
教育部本科教学工作水平评估中衡量实践
教学的重要指标。综合论文训练的提交审核
管理,是指学生在完成综合论文训练后,将
综合论文的