摘要
传统网络环境和P2P环境中,客户端向OLAP服务器提交OLAP查询,并从服务器获取查询结果,OLAP服务器的负载将随着客户端的增加而急剧增加。设计了一种基于P2P(Peer-to-Peer,点对点技术)技术的DQDC(Distributed Query Data Cube,多维数据集的分布式查询)算法,实现P2P网络中语义级的多节点Data Cube数据共享,从而提高系统整体的决策分析性能。
The clients submit queries to the OLAP server and get the corresponding results from the server in the traditional network and the P2P network.However,the load of OLAP server sharply increases with the increase of clients.A distributed query data cube algorithm based on peer-to-peer technology is proposed.It achieves multi-node data cube data sharing in P2P semantic-level,thereby can improve the performance of system decision analysis.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第8期108-111,共4页
Computer Engineering and Applications
基金
广东省产学研项目(No.2007A090302079)