By Topic

An adaptive dynamic grid-based approach to data distribution management

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)
Boukerche, A. ; PARADISE Res. Lab., Ottawa Univ., Ont. ; Yunfeng Gu ; Araujo, R.B.

This paper presents a novel adaptive dynamic grid-based data distribution management (DDM) scheme, which we refer to as ADGB. The main objective of our protocol is to optimize DDM time through matching probability (MP) and federates' performance. A distribution rate (DR) along with MP are used as part of the ADGB method to select, throughout the simulation, from different devised advertisement schemes, the best scheme to achieve maximum gain with acceptable network traffic overhead. As opposed to previous protocols, the novelty of our ADGB scheme is its focus on improving overall performance, an important goal for DDM strategy. In this paper, we present our scheme and highlight its performance analysis

Published in:

Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International

Date of Conference:

25-29 April 2006