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...
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...
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...
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...
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...