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

Performance Analysis of Multiple Input-Queuing Scheduling Employing Neural Network in ATM Switches

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)
Xian-Guo Li ; Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin, China ; Chang-Yun Miao ; Jin-yuan Shen

In this paper, an improved multiple input-queuing (IMIQ) fabric and scheduling algorithm by employing a new energy function based on Hopfield neural network (HNN) in asynchronous transfer mode (ATM) Switches is proposed. The policy of more than one cell transferred in each input port during every time slot is adopted. Performances such as throughput, cell loss and cell delay of this new approach are analyzed and compared with other methods. The study shows that the performances of the new method are better than the others. And the scale of the HNN used in our new approach is much smaller than the one used in Virtual Output-Queuing (VOQ). In addition, due to the HNN model is able to be implemented by circuit or optoelectronic device easily, our approach can be applied to large-scale ATM switches optimization scheduling on line.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:5 )

Date of Conference:

March 31 2009-April 2 2009

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.