By Topic

On-line measurement of QoS for call admission control

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)
Siler, M. ; California Univ., Berkeley, CA, USA ; Walrand, J.

Online measurement of traffic can improve the quality of network monitoring and call admission control algorithms by providing reliable estimates of QoS parameters. We propose to estimate QoS by fitting an appropriate function to the buffer occupancy distribution of a single-server first-come/first-served queue. We collect samples of the buffer occupancy distribution just after packet arrivals in the queue. Then we fit an approximating function, a sum of exponentials, using minimum chi-squared estimation techniques. The QoS parameters can then be inferred from the fitted distribution function. We consider three types of minimum chi-squared estimators: the first uses the sample covariance matrix, while the last two use biased approximations that are considerably easier to compute. Furthermore, we extend these algorithms to virtual queuing systems to estimate the impact of additional connections being admitted to the queue. We provide algorithms and criteria for all three estimators, along with simulation results. These simulations show that we can quickly obtain reliable estimates of QoS parameters

Published in:

Quality of Service, 1998. (IWQoS 98) 1998 Sixth International Workshop on

Date of Conference:

18-20 May 1998