By Topic

Adaptive projection in Column-stores

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xiangwu Ding ; Sch. of Comput. Sci. & Theor., Donghua Univ., Shanghai, China ; Jiajin Le

Column-stores gained popularity as a promising physical design alternative. The main overhead of query processing in Column-stores is on-the-fly tuple reconstruction for multi-attributes queries. Typical column-stores, such as C-Store and MonetDB, use projections to support tuple reconstruction. But how to select attributes for a projection is keeping open problem. This paper presents an adaptive approach to solve this problem. Our approach exploits an adaptive algorithm to cluster attributes for each projection. We show that our approach can conform well to clustering attributes for projections in column-stores, and it enable projections to adapt dynamically to users query customs, therefore is an effective method to select attributes for projections.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on  (Volume:4 )

Date of Conference:

26-28 July 2011