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» On Parallel Execution of Multiple Pipelined Hash Joins
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TKDE
2002
148views more  TKDE 2002»
13 years 4 months ago
Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
VLDB
2007
ACM
145views Database» more  VLDB 2007»
14 years 5 months ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
DEBU
2000
147views more  DEBU 2000»
13 years 5 months ago
XJoin: A Reactively-Scheduled Pipelined Join Operator
Wide-area distribution raises significant performance problems for traditional query processing techniques as data access becomes less predictable due to link congestion, load imb...
Tolga Urhan, Michael J. Franklin
SSDBM
2005
IEEE
184views Database» more  SSDBM 2005»
13 years 10 months ago
Optimizing Multiple Top-K Queries over Joins
Advanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a pr...
Dirk Habich, Wolfgang Lehner, Alexander Hinneburg
ICDE
2003
IEEE
144views Database» more  ICDE 2003»
14 years 6 months ago
Flux: An Adaptive Partitioning Operator for Continuous Query Systems
The long-running nature of continuous queries poses new scalability challenges for dataflow processing. CQ systems execute pipelined dataflows that may be shared across multiple q...
Mehul A. Shah, Joseph M. Hellerstein, Sirish Chand...