A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays

DSpace/Manakin Repository

A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays

Show simple item record

dc.contributor.author Shneidman, Jeffrey
dc.contributor.author Roussopoulos, Mema
dc.contributor.author Welsh, Matt
dc.contributor.author Pietzuch, Peter
dc.contributor.author Seltzer, Margo
dc.date.accessioned 2009-05-21T13:42:50Z
dc.date.issued 2005
dc.identifier.citation Shneidman, Jeffrey, Peter Pietzuch, Matt Welsh, Margo Seltzer, and Mema Roussopoulos. 2005. A cost-space approach to distributed query optimization in stream based overlays. In Proceedings of the 21st International Conference on Data Engineering: ICDE 2005, 5-8 April 2005, National Center of Science, Tokyo, Japan, 1182 - 1188. Los Alamitos, Calif.: IEEE Computer Society. en
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:2962639
dc.description.abstract 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. en
dc.description.sponsorship Engineering and Applied Sciences en
dc.language.iso en_US en
dc.publisher IEEE Computer Society en
dc.relation.isversionof http://dx.doi.org/10.1109/ICDE.2005.161 en
dash.license LAA
dc.title A Cost-Space Approach to Distributed Query Optimization in Stream Based Overlays en
dash.depositing.author Seltzer, Margo

Files in this item

Files Size Format View
Shneidman_CostSpace.pdf 199.7Kb PDF View/Open

This item appears in the following Collection(s)

Show simple item record

 
 

Search DASH


Advanced Search
 
 

Submitters