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» Joining Interval Data in Relational Databases
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MDM
2001
Springer
13 years 12 months ago
Towards Sensor Database Systems
Sensor networks are being widely deployed for measurement, detection and surveillance applications. In these new applications, users issue long-running queries over a combination o...
Philippe Bonnet, Johannes Gehrke, Praveen Seshadri
SIGMOD
2006
ACM
122views Database» more  SIGMOD 2006»
14 years 7 months ago
MonetDB/XQuery: a fast XQuery processor powered by a relational engine
Relational XQuery systems try to re-use mature relational data management infrastructures to create fast and scalable XML database technology. This paper describes the main featur...
Peter A. Boncz, Torsten Grust, Maurice van Keulen,...
SIGMOD
2003
ACM
193views Database» more  SIGMOD 2003»
14 years 7 months ago
Chain : Operator Scheduling for Memory Minimization in Data Stream Systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or real-time query responses in ...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
SIGMOD
2007
ACM
145views Database» more  SIGMOD 2007»
14 years 7 months ago
Why off-the-shelf RDBMSs are better at XPath than you might expect
To compensate for the inherent impedance mismatch between the relational data model (tables of tuples) and XML (ordered, unranked trees), tree join algorithms have become the prev...
Torsten Grust, Jan Rittinger, Jens Teubner
ICDE
2003
IEEE
138views Database» more  ICDE 2003»
14 years 9 months ago
Using State Modules for Adaptive Query Processing
We present a query architecture in which join operators are decomposed into their constituent data structures (State Modules, or SteMs), and dataflow among these SteMs is managed ...
Vijayshankar Raman, Amol Deshpande, Joseph M. Hell...