[1]张轶. RDB平台和大数据平台混搭式的数据中心设计[J].计算机技术与发展,2015,25(05):172-178.
　ZHANG Yi. Design of Data Center of RDB Platform and Big Data Platform Mashup[J].,2015,25(05):172-178.
点击复制

 RDB平台和大数据平台混搭式的数据中心设计()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年05期
页码:
172-178
栏目:
应用开发研究
出版日期:
2015-05-10

文章信息/Info

Title:
 Design of Data Center of RDB Platform and Big Data Platform Mashup
文章编号:
1673-629X（2015)05-0172-07
作者:
 张轶
 中国移动通信集团湖南有限公司
Author(s):
 ZHANG Yi
关键词:
 ; 数据中心; 大数据平台; RDB平台; 混搭模式
Keywords:
 ; data center; big data platform; RDB platform; mashup patterns
分类号:
TP31
文献标志码:
A
摘要:
 针对现有仓库存储和性能接近饱和，数据海量，一方面传统经分仓库计算压力大无法承载，另一方面传统经分仓库的扩展性弱，且成本很高。通过引入云计算、非结构化数据处理等新技术，创造性地提出了大数据架构平台与RDB平台并存的“混搭模式”，实现对各类数据高效低成本的存储及处理。 RDB技术主要解决传统仓库(主数据仓库、地市集市、VGOP等专业集市)结构化数据业务，大数据平台技术主要解决大数据平台(流量日志类、网络信令类等流量运营)非结构化数据的处理和存储业务。
Abstract:
 Existing warehouse storage and performance is close to saturation with massive data,on the one hand,causing that traditional warehouse calculated pressure is too large to carry,on the other hand,traditional warehouse scalability is weak and cost is high. Aiming to those problems,creatively propose “mix mode” which is the big data architecture platform coexisting with RDB platform by introducing the new technology of cloud computing and unstructured data processing,achieving cost-effective storage and handling for various types of data. The main task of RDB technology is to solve the traditional warehouse structured data business,and big data platform technology is used to solve unstructured data processing and storage business of big data platform.

相似文献/References:

[1]戴文娟 王晓峰.基于XML和BizTalk数据集成平台的设计与构建[J].计算机技术与发展,2008,(10):162.
　DAI Wen-juan,WANG Xiao-feng.Design and Construction of Data Integration Platform Based on XML and BizTalk Technology[J].,2008,(05):162.
[2]黎冬媛 朱春媚 莫剑斌.基于ORM的农业信息管理系统的设计与实现[J].计算机技术与发展,2011,(08):204.
　LI Dong-yuan,ZHU Chun-mei,MO Jian-bin.Design and Implementation of Agricultural Information Management System Based on ORM[J].,2011,(05):204.
[3]喻波,胡怀湘.MR-IOV：下一代数据中心I/O虚拟化技术[J].计算机技术与发展,2013,(10):91.
　YU Bo,HU Huai-xiang.MR-IOV:I/O Virtualization Technology for Next Generation Data Center[J].,2013,(05):91.
[4]葛苏慧,梁宏涛,房正华.高校共享数据中心虚拟化技术的架构[J].计算机技术与发展,2014,24(04):174.
　GE Su-hui[],LIANG Hong-tao[],FANG Zheng-hua[].Virtualization Technology Architecture of Sharing Data Center in University[J].,2014,24(05):174.
[5]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(05):1.
[6]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(05):5.
[7]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(05):13.
[8]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(05):21.
[9]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(05):25.
[10]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(05):29.
[11]邢静宇[],张立臣[]. 基于能量控制与资源调度的信息物理系统建模[J].计算机技术与发展,2014,24(07):120.
　XING Jing-yu[],ZHANG Li-chen[]. Cyber Physical System Modeling Based on Energy Control and Resource Scheduling[J].,2014,24(05):120.
[12]戚艳军[],淡战平[]. 一种基于SOA架构的电子政务数据交换及融合机制——以教育电子政务为例[J].计算机技术与发展,2015,25(11):110.
　QI Yan-jun[],DAN Zhan-ping[]. Data Exchange and Integration Mechanism of E-government Based on SOA-Study about Education E-government[J].,2015,25(05):110.
[13]胡荣辉,王瑞通. 云环境下虚拟机集群迁移策略研究[J].计算机技术与发展,2017,27(11):33.
　HU Rong-hui,WANG Rui-tong. Study on Virtual Cluster Migration Strategy in Cloud Environment[J].,2017,27(05):33.

更新日期/Last Update: 2015-07-27