Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Flexible and Scalable Query Planning in Distributed and Heterogeneous Environments
 

Summary: Flexible and Scalable Query Planning in Distributed and
Heterogeneous Environments
Jos e Luis Ambite & Craig A. Knoblock
Information Sciences Institute and Department of Computer Science
University of Southern California
4676 Admiralty Way, Marina del Rey, CA 90292, USA
fambite, knoblockg@isi.edu
Abstract
We present the application of the Planning by Rewrit-
ing PbR framework to query planning in distributed
and heterogeneous environments. PbR is a new
paradigm for e cient high-quality planning that ex-
ploits plan rewriting rules and e cient local search
techniques to transform an easy-to-generate, but pos-
sibly suboptimal, initial plan into a high-quality plan.
The resulting planner is scalable, exible, has any-
time behavior, and, applied to query planning, yields
a novel combination of traditional query optimiza-
tion with heterogeneous information source selection.
Query planners are the core component of mediator

  

Source: Ambite, Josť Luis - Information Sciences Institute & Department of Computer Science, University of Southern California

 

Collections: Computer Technologies and Information Sciences