J. M. Hellerstein. Online Processing Redux. Data Eng. Bul., 20(3). Home/Search Document Details and Download
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Dynamic Pipeline Scheduling for Improving Interactive Query.. - Urhan, Franklin (2001) (22 citations) (Correct)
....in which the user preferences change dynamically due to user actions (such as browsing a long list of results and jumping from one region of the result to another region) Our approach is optimized for the case where the importance of the tuples do not change. The Ripple Join operator [HH99, Hel97] works similar to the three join algorithms described in this paper; SHJ, DPHJ, and XJoin are a type of Ripple Join. Ripple Join was initially developed to approximate query aggregates in a real time fashion. It, however, imposes a scheduling for processing its inputs in order to provide certain ....
J. M. Hellerstein. Online Processing Redux. Data Eng. Bul., 20(3).
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