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» Supporting top-k join queries in relational databases
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ICDE
2003
IEEE
138views Database» more  ICDE 2003»
15 years 11 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...
CF
2009
ACM
15 years 2 months ago
Data parallel acceleration of decision support queries using Cell/BE and GPUs
Decision Support System (DSS) workloads are known to be one of the most time-consuming database workloads that processes large data sets. Traditionally, DSS queries have been acce...
Pedro Trancoso, Despo Othonos, Artemakis Artemiou
SSDBM
2005
IEEE
122views Database» more  SSDBM 2005»
15 years 3 months ago
Detection and Tracking of Discrete Phenomena in Sensor-Network Databases
This paper introduces a framework for Phenomena Detection and Tracking (PDT, for short) in sensor network databases. Examples of detectable phenomena include the propagation over ...
Mohamed H. Ali, Mohamed F. Mokbel, Walid G. Aref, ...
EUROPAR
1999
Springer
15 years 2 months ago
On Disk Allocation of Intermediate Query Results in Parallel Database Systems
For complex queries in parallel database systems, substantial amounts of data must be redistributed between operators executed on different processing nodes. Frequently, such inter...
Holger Märtens
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
15 years 9 months ago
Column-stores vs. row-stores: how different are they really?
There has been a significant amount of excitement and recent work on column-oriented database systems ("column-stores"). These database systems have been shown to perfor...
Daniel J. Abadi, Samuel Madden, Nabil Hachem