This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
21st International Conference on Data Engineering Workshops (ICDEW'05)
A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays
Tokyo, Japan
April 05-April 08
ISBN: 0-7695-2657-8
ASCII Text
x 
 
Jeffrey Shneidman, Peter Pietzuch, Matt Welsh, Margo Seltzer, Mema Roussopoulos, "A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays," Data Engineering Workshops, 22nd International Conference on, pp. 1182, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICDE.2005.161,
author = {Jeffrey Shneidman and Peter Pietzuch and Matt Welsh and Margo Seltzer and Mema Roussopoulos},
title = {A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays},
journal ={Data Engineering Workshops, 22nd International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2657-8},
pages = {1182},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2005.161},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering Workshops, 22nd International Conference on
TI - A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays
SN - 0-7695-2657-8
SP
EP
A1 - Jeffrey Shneidman,
A1 - Peter Pietzuch,
A1 - Matt Welsh,
A1 - Margo Seltzer,
A1 - Mema Roussopoulos,
PY - 2005
KW - null
VL - 0
JA - Data Engineering Workshops, 22nd International Conference on
ER -
 
Jeffrey Shneidman, Harvard University, Cambridge, MA, USA
Peter Pietzuch, Harvard University, Cambridge, MA, USA
Matt Welsh, Harvard University, Cambridge, MA, USA
Margo Seltzer, Harvard University, Cambridge, MA, USA
Mema Roussopoulos, Harvard University, Cambridge, MA, USA
Distributed stream-based applications, such as continuous query systems, have network scale and time characteristics that challenge traditional distributed query optimization. The optimization sub-problems of plan generation and service placement should be integrated to meet these challenges. These tasks have typically been treated as independent sub-problems because of the complexity of their integration. We suggest cost spaces as one way to mitigate this complexity. We further consider how cost spaces can be used to allow tractable multi-query optimization.
Citation:
Jeffrey Shneidman, Peter Pietzuch, Matt Welsh, Margo Seltzer, Mema Roussopoulos, "A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays," icdew, pp.1182, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.