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

Evaluating and modeling window synchronization in highly multiplexed flows

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

2 Author(s)
Gast, J. ; Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA ; Barford, P.

In this paper, we investigate issues of synchronization in highly aggregated flows such as would be found in the Internet backbone. Our hypothesis is that regularly spaced loss events lead to window synchronization in long lived flows. We argue that window synchronization is likely to be more common in the Internet than previously reported. We support our argument with evidence of the existence and evaluation of the characteristics of periodic discrete congestion events using active probe data gathered in the Surveyor infrastructure. When connections experience loss events which are periodic, the aggregate offered load to neighboring links rises and falls in cadence with the loss events. Connections whose cWnd values grow from W/2 to W at approximately the same rate as the loss event period soon synchronize their cWnd additive increases and multiplicative decreases. We find that this window synchronization can scale to large numbers of connections depending on the diversity of roundtrip times of individual flows. A model is presented that predicts important characteristics of the loss events in window synchronized flows including the quantity, intensity, and duration. The model effectively explains the prevalence of discrete loss events in fast links with high multiplexing factors as well as the queue buildup and queue draining phases of congestion.

Published in:

Workload Characterization, 2003. WWC-6. 2003 IEEE International Workshop on

Date of Conference:

27 Oct. 2003

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.