摘要
随着大数据和云计算的应用,传统档案馆的信息储存方式已无法适应大数据时代的新要求。笔者基于Hadoop平台介绍了HDFS分布式文件系统和Map-Reduce计算框架,探索了基于Hadoop的档案馆云存储构架,并结合其优势以及档案馆提供的不同类型服务,讨论了其在档案馆应用中的优势和未来的发展趋势。
With the application of big data and cloud computing,traditional methods of information storage in archives has been unable to meet the new requirements nowadays in the era of big data.Based on Hadoop platform,the author introduces HDFS distributed file system and Map-Reduce computing framework,and explores the archives cloud storage architecture based on Hadoop.At the same time,Combining with its advantages and different types of services provided by archives,this paper discusses its benefits and development trend in the application of archives.
作者
乔萌萌
Qiao Mengmeng(Shanghai University,Shanghai 200444,China)
出处
《信息与电脑》
2019年第24期162-163,166,共3页
Information & Computer