CONTROL: continuous output and navigation technology with refinement on-line

Authors:
Ron Avnur;Joseph M. Hellerstein;Bruce Lo;Chris Olston;Bhaskaran Raman;Vijayshankar Raman;Tali Roth;Kirk Wylie
Affiliations:
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley;-;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
Venue:
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Year:
1998

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Abstract

The CONTROL project at U.C. Berkeley has developed technologies to provide online behavior for data-intensive applications. Using new query processing algorithms, these technologies continuously improve estimates and confidence statistics. In addition, they react to user feedback, thereby giving the user control over the behavior of long-running operations. This demonstration displays the modifications to a database system and the resulting impact on aggregation queries, data visualization, and GUI widgets. We then compare this interactive behavior to batch-processing alternatives.