摘要
目前,P2P环境下的OLAP查询策略都是基于从客户端获取查询结果集,如DSCD算法和DQDC算法等主要是研究怎样快速地从客户端获取查询结果集,由于客户端的DataCube的实时数据更新效率低,易导致查询结果失真,从而影响OLAP的查询效率。为了提高P2P网络中OLAP的实时查询效率,提出了一种RTOS(Real-time Semantic OLAP Search,实时语义的OLAP查询)算法,并结合查询速度和失真率两方面的实验证明,该算法能有效地提高P2P环境下OLAP的决策分析性能。
Nowadays, the result of OLAP query obtains from all other clients. For example： DSCD algorithm and DQDC algorithm aim to research the way to get the result of querying quickly, However, Data Cube in other clients can not be updated on real time. So it is easy to lead the result of query distortion. It has an effect on the efficiency of OLAP. In order to improve the efficiency of the realtime query of OLAP, this paper proposes a real-time semantic OLAP search algorithm. Through the experiment, it unifies the results of inquiry speed and distortion rate of two aspects, demonstrates that the RTOS algorithm can effectively improve the OLAP decision analysis performance on the P2P environment.
出处
《计算机工程与应用》
CSCD
2012年第4期149-151,235,共4页
Computer Engineering and Applications
基金
湖南省科技计划项目(No.2009SK4006
2010FJ6005)
