Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
ACM Computing Surveys (CSUR)
Active data warehouses: complementing OLAP with analysis rules
Data & Knowledge Engineering - Data warehousing
Capturing Delays and Valid Times in Data Warehouses—Towards Timely Consistent Analyses
Journal of Intelligent Information Systems - Special issue on data warehousing and knowledge discovery
On Making Data Warehouses Active
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Towards Near Real-Time Data Warehousing
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Maintaining internal consistency of report for real-time OLAP with layer-based view
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
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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.