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基于集群技术的海量数据存储技术研究 被引量:7

Research of massive data storage in cluster technique based
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摘要 随着卫星遥感技术的发展,信息存储系统数据规模呈TB级迅速增长,如何有效存储与管理这些数据已成为亟待解决的问题。本文根据海量数据特点,引入集群技术,设计了由应用服务器集群、数据库服务器集群和信息存储集群组成的多级集群系统架构,并通过实验验证了集群系统具有可扩展、负载均衡和故障转移等特性,在实现数据存储海量化的同时,提高了系统稳定程度,对信息系统具有重要作用。 As the development of Satellite Remote Sensing technique, the data size of information storage systems is rapid growing by TB-level, how to effectively store and manage them has become a serious problem. According to the characteristics of mass data, this paper introduces the clustering technology, and designs a muhi-level cluster system architecture, that composed by application server clusters, database server cluster and inh^rmation storage cluster. Then do a verification experiment of the cluster system has the scalability, load balancing and failover features, at same time of achieving massive storage, this will improve the stability and play an important role in the information systems.
出处 《微计算机信息》 2010年第16期196-198,共3页 Control & Automation
基金 基金申请人:汤晓安 基金颁发部门:国防科工委(项目名称和编号不公开)
关键词 集群技术 海量数据存储 ORACLE RAC cluster technique massive data store Oracle RAC
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