We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

A New Prediction Function for File Replication in Mobile 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

3 Author(s)
Xiaodong Yan ; Sch. of Inf. Eng., Minzu Univ. of China, Beijing, China ; Xiaobing Zhao ; Guosheng Yang

A major problem in mobile computing is the optimal distribution and replication of data files in the Grid sites, in order to improve and maintain over time a high overall throughput of Grid jobs that access files. Therefore, a Grid optimization service should be able to dynamically modify the geographic distribution of data files, triggering file deletion and replication, according to the variation over time of the sites where data is highly requested. In this document we propose a novel prediction function for evaluating the future usefulness (value) of data files. This function can be used by Grid sites to make informed decisions about whether or not to replicate files locally. We have performed some preliminary tests on the accuracy of this function using randomly generated simulated file access patterns and also compared the predicted values with the simulated values. It turns out that, over the performed tests, the novel function predicts the simulated values reasonably well and has big advantage than former functions.

Published in:

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Date of Conference:

24-26 Sept. 2009