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

A robust adaptive effective bandwidth allocation scheme

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)
Houjin Li ; Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada ; Changcheng Huang ; Devetsikiotis, M.

Efficient bandwidth allocation has been a popular research topic during the last few years. It is a challenging issue to provide guaranteed quality of service (QoS) for network applications while still obtaining high network utilization. As a promising approach to achieve tradeoff between network utilization and the provisioning of QoS, the concept of effective bandwidth has been widely accepted. However, it requires a full characterization of the underlying process to calculate its effective bandwidth, which is not trivial. It is also well known that the pure effective bandwidth allocation is conservative. To bypass modeling the underlying traffic and overcome the conservative nature of effective bandwidth, we propose a robust adaptive effective bandwidth allocation (AEBA) algorithm. We study the performance of the robust AEBA method under the dynamic weighted round-robin (DWRR) scheduling with a set of simulations using both self-similar traffic and traditional Poisson traffic as input. The simulation results show that our approach allows different QoS requirements to be satisfied while effectively exploiting the statistical multiplexing gain occurring among multiple traffic classes at the same time. The simulation results also show that our approach is robust in that it does not need any assumptions about the underlying traffic.

Published in:

Communications, 2005. ICC 2005. 2005 IEEE International Conference on  (Volume:1 )

Date of Conference:

16-20 May 2005

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.