摘要
为了提升图书馆在大数据下的特色数字资源服务质量,探讨了一种更科学有效的云服务模式。采用Hadoop平台,通过对HDFS涉及的技术细节,包括体系结构、并行数据处理框架Map-reduce以及分布式数据库、HBase展开具体分析,结合广东省特色文献资源的实际情况,探讨了HDFS构建需求与可行性。提出HDFS关键技术应用于广东省特色数字资源云服务的具体方案,但实践效果还有待进一步验证。
To improve the quality of library digital resource service in the trend of big data development,this paper discusses a more scientific and effective cloud service mode.The Hadoop platform is adopted to analyze the technical details of HDFS,including architecture,parallel data processing framework Map-reduce and distributed database H Base.Then based on the actual situation of the characteristic literature resources in Guangdong province,the requirement and feasibility of HDFS construction are discussed.The key technologies of HDFS are applied to the specific scheme of digital resource cloud services in Guangdong province.The practical effects need to be further verified.
作者
赵嘉凌
ZHAO Jia-ling(Information Center,Zhaoqing University,Zhaoqing 526061,China)
出处
《软件导刊》
2018年第5期173-175,共3页
Software Guide
关键词
HDFS
云存储
数字资源
云服务
HDFS
cloud storage
digital resources
cloud service
