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» Database Tuning: Principles, Experiments, and Troubleshootin...
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VLDB
2007
ACM
181views Database» more  VLDB 2007»
14 years 5 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
13 years 5 months ago
Configuration-parametric query optimization for physical design tuning
Automated physical design tuning for database systems has recently become an active area of research and development. Existing tuning tools explore the space of feasible solutions...
Nicolas Bruno, Rimma V. Nehme
SIGMOD
2002
ACM
118views Database» more  SIGMOD 2002»
14 years 5 months ago
Compressing SQL workloads
Recently several important relational database tasks such as index selection, histogram tuning, approximate query processing, and statistics selection have recognized the importan...
Surajit Chaudhuri, Ashish Kumar Gupta, Vivek R. Na...
VLDB
1998
ACM
170views Database» more  VLDB 1998»
13 years 4 months ago
Advanced Data Processing in KRISYS: Modeling Concepts, Implementation Techniques, and Client/Server Issues
The increasing power of modern computers steadily opens up new application domains for advanced data processing such as engineering and knowledge-based applications. To meet their...
Stefan Deßloch, Theo Härder, Nelson Men...
CIG
2006
IEEE
13 years 11 months ago
Monte-Carlo Go Reinforcement Learning Experiments
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
Bruno Bouzy, Guillaume Chaslot