面向云存储的非结构化数据存取  

Cloud storage-oriented unstructured data storage

作　　者：谢华成[1] 陈向东[1] 

机构地区：[1]信阳师范学院网络信息与计算中心,河南信阳464000

出　　处：《计算机应用》2012年第7期1924-1928,1942,共6页journal of Computer Applications

基　　金：河南省自然科学研究计划项目(102102210175;112300410234);河南省教育厅自然科学研究计划项目(2011A520038)

摘　　要：非结构化数据呈爆炸态势增长,现有存储技术在I/O吞吐能力、可扩展性及易管理性等方面亟待改进。存储系统以云存储和可靠性理论为基础,建立了非结构化数据的分布式存储模型,并设计了可靠度函数。采用分布式关系数据库管理系统(RDBMS)作为存储底层,将非结构化数据直接存储于数据表中,实现了非结构化数据和元数据的分离式存储和统一管理,进而提升了存储系统性能。相对于集中式存储,新系统具有较高的可用性。仿真结果显示,存储系统可靠度高且易于扩展。该分布式存储系统可应用于动态开放计算环境,提供效能较高的云存储服务。With the explosive growth of unstructured data,the existing storage technology in the aspects of I/O throughput,scalability and manageability needs improving urgently.Based on cloud storage and reliability theory,a model of distributed storage for unstructured data was created,and reliability function was also proposed.The distributed Relational Database Management System（RDBMS） was adopted as the bottom storage facilities,so unstructured data could be stored directly in the data table.Separated storage and unified management for unstructured data and metadata was realized,and thus storage system performance was promoted.Relative to the centralized storage,new system has superior availability.The simulation results show that the storage system has higher reliability and it is easy to expand.The distributed storage system can be applied to dynamic open computing environment,and it provides cloud storage service with better performance.

关 键 词：云存储 非结构化数据存储 可靠度函数 数据分离存储 存储仿真 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论] TP274[自动化与计算机技术—计算机科学与技术]