CAJ | 학술논문

随着数据爆炸性增长，传统的存储方式已经不再满足海量数据的存储需求，云存储技术的飞速发展，使得云存储成为了一种新型的数据存储解决方案。文章在分析Hadoop分布式文件系统HDFS的基础上，提出了一种新的基于云计算环境的海量大数据存储设计方法，主要给出了文件存储方案设计以及副本方案设计等，为云计算海量数据存储与管理提供了一种可行的关键技术方案。
수착수거폭작성증장，전통적존저방식이경불재만족해량수거적존저수구，운존저기술적비속발전，사득운존저성위료일충신형적수거존저해결방안。문장재분석Hadoop분포식문건계통HDFS적기출상，제출료일충신적기우운계산배경적해량대수거존저설계방법，주요급출료문건존저방안설계이급부본방안설계등，위운계산해량수거존저여관리제공료일충가행적관건기술방안。
With the explosion of data,traditional storage methods no longer meet the massive data stor-age requirements. The rapid development of cloud storage technology makes cloud storage become a new type of data storage solution. Based on the Hadoop Distributed File System( HDFS),this paper puts forward a new type of distributed cloud storage solution for massive data,providing the persistence of high availabili-ty of data storage. This paper proposes a framework of storage and management of massive data,and analy-zes key techniques that we need to implement the proposed framework.