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ICDE
2010
IEEE
194views Database» more  ICDE 2010»
15 years 10 months ago
Visualizing cost-based XQuery optimization
Abstract— Developing a full-fledged cost-based XQuery optimizer is a fairly complex task. Nowadays, there is little knowledge concerning suitable cost formulae and optimization ...
Andreas M. Weiner, Theo Härder, Renato Olivei...
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
15 years 9 months ago
On the approximate domain optimization of deterministic and expected value criteria
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
Andrea Lecchini-Visintini, John Lygeros, Jan M. Ma...
IPPS
2007
IEEE
15 years 9 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
DEXA
2003
Springer
108views Database» more  DEXA 2003»
15 years 8 months ago
Exploiting Similarity of Subqueries for Complex Query Optimization
Query optimizers in current database management systems (DBMS) often face problems such as intolerably long optimization time and/or poor optimization results when optimizing compl...
Yingying Tao, Qiang Zhu, Calisto Zuzarte
VLDB
1995
ACM
96views Database» more  VLDB 1995»
15 years 6 months ago
The Fittest Survives: An Adaptive Approach to Query Optimization
Traditionally, optimizers are “programmed” to optimize queries following a set of buildin procedures. However, optimizers should be robust to its changing environment to gener...
Hongjun Lu, Kian-Lee Tan, Son Dao