摘要
为了缓解移动通信枢纽电力资源压力,解决硬件设备陈旧老化,满足当前业务量和数据量提取、转换和加载,通过云计算的分布式计算、虚拟化技术和ETL(Extraction-Transformation-Loading)工具等方法,对IDC(Internet Data Center)机房中BASS(Business Analysis Support System)系统的数据集市云架构进行了改造升级。经过实际测试应用表明,改造升级的BASS系统的数据集市在数据处理方面更加精细化;在数据量交互计算方面,更加均衡、稳定、高效;同时,降低了BASS系统整体运营成本,提高了基础资源的效率。
For relieving the pressure of mobile communication pivotal power resource, resolving the obsolescence of the hardware equipment, and satisfying the abstraction, transmission and loading of the quantities of business and data, the paper reforms the cloud computing architecture of data marts by the means of distributed computing and virtual technology and ETL（Extraction-Transformation-Loading） tools of cloud computing. Through test and application, it showed that the reformed data marts in BASS（ Business Analysis Support System） system become finer in data processing and become more balanced, stable, and high-efficient in data exchange. And the data marts reduce the cost and increase the efficiency of the basic sources.
出处
《吉林大学学报（信息科学版）》
CAS
2014年第4期446-449,共4页
Journal of Jilin University（Information Science Edition）
关键词
云计算
分布式计算
虚拟化
IDC
数据集市
cloud computing
distributed computing
virtualization
internet data center（IDC）
data mart
