By Topic

Utility-Based Replication Strategies in Data Grids

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)
Xindong You ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang ; Guiran Chang ; Xueyao Chen ; Cuihua Tian
more authors

Providing fast, reliable and transparent access to data to all users within a community is one of the most crucial functions of data management in a grid environment. Replication strategies are regarded as one of the major optimization techniques for reducing access latency, improving data locality, and increasing robustness, scalability, and performance for the data grids. Compared with economy-based strategies implemented in OptorSim, utility-based strategies proposed in this paper, which make "buying" or replacement decision based on the utility model, achieve better performance in job execution cost and storage consumption with the same jobs being finished in three different type data grids. The simulation experiments also show that the larger the test data grid scale is, the more the job execution cost saved, which makes our method have a greater advantage in continuously growing data grids

Published in:

Grid and Cooperative Computing, 2006. GCC 2006. Fifth International Conference

Date of Conference:

Oct. 2006