Adaptive query processing in large distributed systems has seen increasing importance due to the rising environmental fluctuations in a growing Internet. We describe Ginga, an ad...
Adaptive query processing schemes attempt to reoptimize query plans during the course of query execution. A variety of techniques for adaptive query processing have been proposed,...
Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed...
An effective query optimizer finds a query plan that exploits the characteristics of the source data. In data integration, little is known in advance about sources' propertie...
StreaMon is the adaptive query processing engine of the STREAM prototype Data Stream Management System (DSMS) [4]. A fundamental challenge in many DSMS applications (e.g., network...
An eddy [2] is a highly adaptive query processing operator that continuously reoptimizes a query in response to changing runtime conditions. It does this by treating query process...
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...
The ability to compute top-k matches to XML queries is gaining importance due to the increasing number of large XML repositories. The efficiency of top-k query evaluation relies o...