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

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.

关键词： Optimized load algorithm Parallel database system Teradata EDW Cloud computing system Hadoop

作者: Zhengqiu Yang Tong Li Jiapeng Xiu Chen Liu

作者单位: School Of Software Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,Chi School Of Computer Science Beijing University of Posts and Telecommunications,Beijing 100876,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 535-539

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）