基于分布式系统的海量数据存储技术  

Research on massive data storage technology of distributed system

作　　者：秦东霞[1] 周航[1] 

机构地区：[1]周口师范学院计算机科学与技术学院,河南周口466001

出　　处：《周口师范学院学报》2013年第5期125-128,共4页Journal of Zhoukou Normal University

基　　金：国家自然科学基金资助项目(No.61103143)

摘　　要：随着计算机技术和网络的快速发展,传统的数据存储与管理模式已经很难满足日益增长的数据在很多方面的需求,如何高效存储海量数据成为一个研究热点.通过对分布式计算的BigTable,NFS,MapReduce等几个典型算法的研究,分析了各个算法在海量数据存储中的优劣和应用环境,同时对分布式环境下海量数据的存储在不同领域中的应用进行描述,最后对海量数据存储未来发展的趋势进行了展望.As the rapid development of computer technology and computer network, traditional data storage and manage- ment modes cannot satisfy the increasing requirement in many variety of data, as a result, how to store the massive data in high efficiency becomes a new research hotspot. In this thesis, the advantages and disadvantages and application environment of each algorithm were analyzed in massive data storage by researching several typical algorithm such as BigTable, NFS, MapReduce in distributed computing. The paper also described the implement of massive data storage in different field under the distributed development, as well as prospects the future trend of development of the massive data storage.

关 键 词：海量数据存储 分布式系统 BIGTABLE NFS MAPREDUCE 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]