AN OPTIMIZED LOAD ALGORITHM OF PARALLEL DATA WAREHOUSE BASED ON THE CLOUD COMPUTING PLATFORM

被引：0
|
作者：
Yang, Zhengqiu [1 ]
Li, Tong [2 ]
Xiu, Jiapeng [1 ]
Liu, Chen [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing 100876, Peoples R China
来源：
2012 IEEE 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENT SYSTEMS (CCIS) VOLS 1-3 | 2012年
关键词：
Optimized load algorithm; Parallel database system; Teradata EDW; Cloud computing system; Hadoop;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The parallel database system (PDS) owns high performance and high availability and is suitable for mass data storing and processing. However, data loading performance is a bottleneck in PDS. To improve the data loading performance, this paper proposes an optimized load algorithm based on cloud platform which can promote the speed of load process. The paper gives the algorithm description, elaborates the algorithm implementation process through an example, and discusses the correctness of the algorithm at last.
引用
收藏
页码：413 / 417
页数：5
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