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	Performance Optimization of Analysis Rules in Real-time Active Data Warehouses
	Ziyu Lin ; Lin ZY(林子雨) ; Dongzhan Zhang ; Zhang DZ(张东站) ; Chen Lin ; Lin C(林琛) ; Yongxuan Lai ; Lai YX(赖永炫) ; Quan Zou ; Zou Q(邹权)
	2012
关键词	analysis rules real-time active data warehouses
英文摘要	Analysis rule is an important component of a real-time active data warehouse. Performance optimization of analysis rules may greatly improve the system response time when a new event occurs. In this paper, we carry out the optimization work through the following three ways: (1)initiating non-real-time analysis rules as less as possible during rush hour of real-time analysis rules; (2) executing non-real-time analysis rules using the same cube at the same time interval; and (3) preparing frequent cubes for the use of real-time analysis rules ahead of time. We design the LADE system to get all the reference information required by optimization work. A new algorithm, called ARPO, is proposed to carry out the optimization work. Empirical studies show that our methods can effectively improve the performance of analysis rules.
语种	英语
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/71553]
专题	信息技术－会议论文 林子雨
推荐引用方式 GB/T 7714	Ziyu Lin,Lin ZY,Dongzhan Zhang,et al. Performance Optimization of Analysis Rules in Real-time Active Data Warehouses. 2012-01-01.

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