Cart (Loading....) | Create Account
Close category search window
 

A strategy selection framework for adaptive prefetching in data visualization

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
$31 $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

5 Author(s)
Doshi, P.R. ; Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA ; Geraldine E ; Rosario, G.E. ; Rundensteiner, E.A.
more authors

Accessing data stored in persistent memory represents a bottleneck for current visual exploration applications. Semantic caching of frequent queries at the client-side along with prefetching can improve performance of such systems. However, a prefetching setup that only uses one prefetching strategy may be insufficient because (1) different users have different exploration patterns, and (2) a user's pattern may be changing within the same session. To solve this, existing research focuses on refining a single prefetching strategy. We, on the other hand, now propose a framework wherein prefetching strategies are adaptively selected over time across and within one user session. This work is the first to study adaptive prefetching in the context of visual data exploration. Specifically, we have implemented our proposed approach within XmdvTool, a freeware visualization system for multivariate data, and evaluated it using real user traces. Our results confirm that our approach improves system performance by dynamically selecting the most appropriate combination of prefetching strategies that adapts to the user's changing patterns.

Published in:

Scientific and Statistical Database Management, 2003. 15th International Conference on

Date of Conference:

9-11 July 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.