Data stream management systems (DSMSs) process continuous queries over streaming data in real-time adhering to quality of service requirements. The data streams generated from sen...
Abstract. Fusion queries search for information integrated from distributed, autonomous sources over the Internet. We investigate techniques for e cient processing of fusion querie...
Existing approaches for optimizing queries in data integration use decoupled strategies–attempting to optimize coverage and cost in two separate phases. Since sources tend to ha...
Progressive Optimization (POP) is a technique to make query plans robust, and minimize need for DBA intervention, by repeatedly re-optimizing a query during runtime if the cardina...
Vijayshankar Raman, Volker Markl, David E. Simmen,...
Peer-to-Peer infrastructures are emerging as one of the important data management infrastructures in the World Wide Web. So far, however, most work has focused on simple P2P networ...
Hadhami Dhraief, Alfons Kemper, Wolfgang Nejdl, Ch...
With the total energy consumption of computing systems increasing in a steep rate, much attention has been paid to the design of energy-efficient computing systems and applications...
Adaptive query processing has been the subject of a great deal of recent work, particularly in emerging data management environments such as data integration and data streams. We ...
Amol Deshpande, Joseph M. Hellerstein, Vijayshanka...
Good cardinality estimates are critical for generating good execution plans during query optimization. Complex predicates, correlations between columns, and user-defined functions...
On the Internet, the limited query-processing capabilities of sources make answering even the simplest queries challenging. In this paper, we present a scheme called GenCompact fo...
Statistics play a key role in influencing the quality of plans chosen by a database query optimizer. In this paper, we identify the statistics that are essential for an optimizer....