By Topic

An analysis of impacts of long-term traffic correlations on congestion control in ATM-based local computer networks

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
$33 $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)
Guang-Liang Li ; Inst. of Comput. Technol., Acad. Sinica, Beijing, China ; Fang-Ming Li

We analyse the impacts of the long-term correlations discovered in data and video traffic on congestion control in ATM-based local area networks based on catastrophe theory. Our work shows that long-term correlations may cause the network performance to degrade catastrophically even if the cell rate of the traffic source can be adjusted dynamically according to the network load and the peak cell rate can be bounded effectively. Experimental evidence exists supporting our analytical results. Therefore, without taking traffic correlations into account, congestion control and quality-of-service guarantees may not be effective

Published in:

Local Computer Networks, 1996., Proceedings 21st IEEE Conference on

Date of Conference:

13-16 Oct 1996