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EDBT
2004
ACM
145views Database» more  EDBT 2004»
14 years 7 months ago
CUBE File: A File Structure for Hierarchically Clustered OLAP Cubes
Abstract. Hierarchical clustering has been proved an effective means for physically organizing large fact tables since it reduces significantly the I/O cost during ad hoc OLAP quer...
Nikos Karayannidis, Timos K. Sellis, Yannis Kouvar...
CLEIEJ
1998
57views more  CLEIEJ 1998»
13 years 7 months ago
User-Level Parallel File I/O
Parallel disk I/O subsystems are becoming more important in today’s large-scale parallel machines. Parallel disk systems provide a significant boost in I/O performance reducing ...
Ernst L. Leiss, Yili Wang
PPSC
1993
13 years 8 months ago
I/O for TFLOPS Supercomputers
Scalable parallel computers with TFLOPS (Trillion FLoating Point Operations Per Second) performance levels are now under construction. While we believe TFLOPS processor technology...
Erik DeBenedictis, Stephen C. Johnson
SIGMOD
1996
ACM
120views Database» more  SIGMOD 1996»
13 years 11 months ago
Implementing Data Cubes Efficiently
Decision support applications involve complex queries on very large databases. Since response times should be small, query optimization is critical. Users typically view the data ...
Venky Harinarayan, Anand Rajaraman, Jeffrey D. Ull...
ICDE
1999
IEEE
89views Database» more  ICDE 1999»
14 years 8 months ago
Relative Prefix Sums: An Efficient Approach for Querying Dynamic OLAP Data Cubes
Range sum queries on data cubes are a powerful tool for analysis. A range sum query applies an aggregation operation (e.g., SUM) over all selected cells in a data cube, where the ...
Steven Geffner, Divyakant Agrawal, Amr El Abbadi, ...