基于HDFS的校园云存储平台的优化

Optimization on cloud storage platform of campus based on HDFS

为了提高当前校园信息管理系统效率的目的,本研究在构建校园云存储服务系统用户层的基础上,开发设计了基于HDFS体系的校园云存储平台及各个功能模块。利用了Mybatis的开源持久层框架对HDFS体系进行改进,并且DAO层实现校园云端网络的可变动态操作。实践应用结果表明:优化后的HDFS方案能够有效地减少名称节点内存的损耗,扩展了HDFS集群的命名空间,并且能够有效地提升读取文件元数据信息的速度。有效地提升了校园云存储平台的管理效率和数据访问效率,缓解了对数据库的压力。

In order to improve the efficiency of the current Campus Information Management System The purpose of this study on the basis of constructing campus cloud storage system user layer on the development and design of the campus-based cloud storage platform HDFS system and each module. The use of open source persistence framework Mybatis of HDFS system could be improved, and the DAO layer to achieve dynamic operating variable clouds campus network. Practical application results show：optimized HDFS program can effectively reduce the loss of memory node name, expands the namespace HDFS clusters, and can effectively improve the reading speed of file metadata information. Effectively improve the efficiency of data access and management efficiency campus cloud storage platform to ease the pressure on the database.