大数据背景下智慧教育云平台构建研究

基于神经网络教育平台存在资源获取速度慢的缺点,针对该问题,提出了大数据背景下智慧教育云平台构建研究。在大数据支持下,设计智慧教育云平台总体架构,通过物理层、虚拟资源层配置相关硬件设备,经过逻辑层和展现层为用户提供有效服务,利用现有智慧信息,为用户提供个性化服务。优化处理Web端框架代码,降低代码复杂性,注重系统权限管控,科学设计服务功能,完成智慧教育云平台构建。由实验结果可知,该平台资源获取速度最高可达到99.5 MB/s,有效提高了学生学习效率。

Research on Constructing Smart Education Cloud Platform under Big Data Background

Based on shortcomings of slow resource acquisition of neural network education platform,the paper puts forward research on constructing smart education cloud platform under big data background.With support of big data,it designs overall architecture of smart education cloud platform.Related hardware devices are configured through physical and virtual resource layer.It provides effective services to users through logical layer and presentation layer,and personalized services with existing smart information to users.Its optimizes processing of web framework code,reduces code complexity,pays attention to system authority control,designs service functions scientifically,and completes construction of smart education cloud platform.Experimental results show that speed of resource acquisition of platform can reach 99.5 MB/s,which effectively improves learning efficiency of students.