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» Parallelizing query optimization
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DEBS
2008
ACM
14 years 13 days ago
Real-time, load-adaptive processing of continuous queries over data streams
We introduce a new type of query, called a real-time continuous query (RCQ), that captures the real-time requirements of processing data streams. We develop techniques to efficien...
Dhananjay Kulkarni, Chinya V. Ravishankar, Mitch C...
IPPS
1998
IEEE
14 years 2 months ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary
SSDBM
1998
IEEE
105views Database» more  SSDBM 1998»
14 years 2 months ago
Scalable, Parallel, Scientific Databases
: Large scientific applications which rely on highly parallel computational analysis require highly parallel data access. We describe an object-oriented, scientific database system...
John L. Pfaltz, Russell F. Haddleton, James C. Fre...
VLDB
2004
ACM
101views Database» more  VLDB 2004»
14 years 4 months ago
Taming XPath Queries by Minimizing Wildcard Steps
This paper presents a novel and complementary technique to optimize an XPath query by minimizing its wildcard steps. Our approach is based on using a general composite axis called...
Chee Yong Chan, Wenfei Fan, Yiming Zeng
ICDE
2010
IEEE
231views Database» more  ICDE 2010»
14 years 5 months ago
Estimating the progress of MapReduce pipelines
Abstract— In parallel query-processing environments, accurate, time-oriented progress indicators could provide much utility given that inter- and intra-query execution times can ...
Kristi Morton, Abram Friesen, Magdalena Balazinska...