大数据时代下个人云资源柜的构建研究

The Research of Personal Cloud Data Cabinet Construction under the Big Data Era

针对当前学习模式下海量数字教育资源的流转过程中存在的不足，结合云存储的特性提出了基于云存储的个人云资源柜的构建，以期为教育大数据时代下的学生提供泛在的学习支持，提高学生的学习效率。文章重点阐述了由应用访问层、管理层、存储层等构成的个人云资源柜的系统体系结构、分层功能及实现过程。同时通过实验模拟，对传统模式和个人云资源柜支持下的两种学习模式的效果进行了比较分析及性能测试。

In order to provide ubiquitous learning support and improve students' learning efficiency under the big data era， it is proposedthat the Personal cloud data cabinet can be built based on the cloud storage， which pointed at the deficiencies of mass digital learningresources transfer process in the current study mode and combined with the feature of cloud storage. This paper focuses on the systemarchitecture， hierarchical function and implementation process of the personal cloud data cabinet which consisted of application of accesslayer， management layer and storage layer. Meanwhile， the results of two learning modes based on the traditional model and personalcloud data cabinet respectively would be analysed， compared and tested the performance through the experimental simulation.