综合论文训练管理系统中海量数据上载的设计与实现  

The design and implementation of mass data uploading for synthesis thesis training management system

作　　者：付小龙[1] 马璟[2] 袁芳[1] 范永开[1] 

机构地区：[1]清华大学计算机与信息管理中心,北京100084 [2]清华大学教务处,北京100084

出　　处：《实验技术与管理》2009年第8期88-91,共4页Experimental Technology and Management

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，在清华大学的实践中获得了良好的应用。The synthesis thesis training management system of Tsinghua University achieves the electronic submission and reviews thesis through the technology of mass data uploading. Mass data uploading uses a lot of key technologies including 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, which has got the better result in practice of Tsinghua University.

关 键 词：综合论文训练 海量数据上载 并发控制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]