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» A New Heuristic for Optimizing Large Queries
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ICDE
2008
IEEE
123views Database» more  ICDE 2008»
14 years 8 months ago
Handling Non-linear Polynomial Queries over Dynamic Data
Applications that monitor functions over rapidly and unpredictably changing data, express their needs as continuous queries. Our focus is on a rich class of queries, expressed as p...
Shetal Shah, Krithi Ramamritham
DICS
2006
13 years 11 months ago
Algorithms for Failure Protection in Large IP-over-fiber and Wireless Ad Hoc Networks
We address failure location and restoration in both optical and wireless ad hoc networks. First, we show how Maximum Likelihood inference can improve failure location algorithms in...
Frederick Ducatelle, Luca Maria Gambardella, Macie...
ECOOP
2004
Springer
14 years 27 days ago
Finding and Removing Performance Bottlenecks in Large Systems
Abstract. Software systems obey the 80/20 rule: aggressively optimizing a vital few execution paths yields large speedups. However, finding the vital few paths can be difficult, e...
Glenn Ammons, Jong-Deok Choi, Manish Gupta, Nikhil...
DAWAK
2000
Springer
13 years 12 months ago
Optimal Multidimensional Query Processing Using Tree Striping
In this paper, we propose a new technique for multidimensional query processing which can be widely applied in database systems. Our new technique, called tree striping, generalize...
Stefan Berchtold, Christian Böhm, Daniel A. K...
VLDB
1994
ACM
118views Database» more  VLDB 1994»
13 years 11 months ago
Query Optimization by Predicate Move-Around
A new type of optimization, called predicate move-around, ia introduced. It is shown how this optimization `considerably improvea the efficiency of evaluating SQL queries that hav...
Alon Y. Levy, Inderpal Singh Mumick, Yehoshua Sagi...