摘要
政务系统是一种联机分析处理/联机事务处理(OLAP/OLTP)的混合型系统,通过分析政务云数据中心架构特征,针对传统存储模型所造成的网络与I/O瓶颈问题,在Oracle Exadata基础上,针对集中式社会服务特点,提出了云数据中心的垂直一体化的存储体系架构与多项智能存取技术,提供了若干关键优化访问算法,可支持云数据中心对快速增长的海量数据的有效管理,并最大程度地提高数据访问效率.对具有高负载混合型的政务应用系统,可提高数10~100倍的存取性能.
The government affairs system is an OLAP/OLTP(on-line analysis processing/on-line transaction processing)hybrid system,with characteristics of intensive I/O,heavy transaction load,a huge amount of data,and the need to long-term preservation of user service information.Aiming at the problem of bottleneck between network and I/O caused by traditional storage model,on the basis of Oracle Exadata,a vertically integrated storage system architecture with a number of intelligent access technology was put forward,which can improve access performance by 10 times to 100 times for high load hybrid government affairs applications system.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2013年第S2期167-171,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
中央高校基本科研业务费专项资金资助项目(3101003)
关键词
云数据中心
垂直一体化架构
智能存储
数据特征模型
扫描
过滤
cloud data center
vertically integrated architecture
intelligent access
data feature mod-el
scan
filter