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

Bandwidth allocation for self-similar traffic consisting of multiple traffic classes with distinct characteristics

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)
Orenstein, P. ; Appl. Res., Telcordia Technol., Red Bank, NJ, USA ; Kim, H. ; Lau, C.L.

It is now generally accepted that modern network traffic (for example, Ethernet, VBR and Web) is 'self-similar' in nature, i.e., the statistical characteristics of the traffic stream remains largely unchanged when examined at several different scales. One appropriate model for self-similar traffic is fractional Brownian motion (FBM). The main contribution of this paper is to formulate and verify a set of general rules that can be applied to calculate the FBM parameters of an aggregate traffic profile consisting of multiple input streams, each with its own characteristic burstiness profile. The parameters of the aggregated FBM traffic can then be used to calculate the effective bandwidth of an aggregate traffic pattern formed by multiplexing a mixture of heterogeneous traffic streams

Published in:

Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE  (Volume:4 )

Date of Conference:

2001

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.