A Metadata Access Strategy of Learning Resources based on HDFS

摘要：

According to the existing project of visual cloud computing mobile learning platform and considering the performance bottlenecks of NameNode in the Hadoop Distributed File System (HDFS), e add a metadata server (MDS) to share part of the metadata access pressure when the load of NameNode is too large, to optimize the performance of the overall system. This paper details the improved metadata access strategy; compares the differences of overall system performances between the improved one and the original one through performance tests. The conclusion is that the improved metadata access strategy can improve the overall system performance when the NameNode is under great pressure.

关键词： HDFS metadata Metadata Server

作者: Yaqi Gao Shijue Zheng

作者单位: Department of Computer Science, Central China Normal University, Wuhan, China

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 620-622

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）