计算机应用与软件2016，Vol.33Issue(12)：23-25,44,4.DOI:10.3969/j.issn.1000-386x.2016.12.006
基于Hadoop的海量学习资源云存储模型设计研究
DESIGN AND RESEARCH OF CLOUD STORAGE MODEL OF MASS LEARNING RESOURCES BASED ON HADOOP
摘要
Abstract
Because of the continuous development of multimedia technology,learning resource shows explosive growth,which raises new challenges to resources storage.There are some problems in Hadoop platform in regard to storing and accessing small files,such as high memo-ry consumption,storage space waste and so on.In view of this,we analysed the characteristics of learning resources,designed the two-step Ha-doop mode and optimised the storage policy of learning resources.Besides,we put forward the multilevel Hadoop-based cloud storage model of learning resource.Furthermore,we built the storage model in laboratory environment,and carried out storage test and analysis on multi-type learning resource files.It is demonstrated by analysis result that compared with traditional Hadoop model,the proposed model has a significant improvement in storage space,memory consumption and storage efficiency.It is suitable for the storage needs of mass learning resources.关键词
海量学习资源/内存开销/访问效率/小文件/云存储Key words
Mass learning resources/Memory overhead/Access efficiency/Small file/Cloud storage分类
信息技术与安全科学引用本文复制引用
郭松,张岩..基于Hadoop的海量学习资源云存储模型设计研究[J].计算机应用与软件,2016,33(12):23-25,44,4.基金项目
辽宁省自然科学基金项目（20120297）。 （）
