By Topic

A Hidden Markov Model approach to available bandwidth estimation and monitoring

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)
Guerrero, C.D. ; Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL ; Labrador, M.A.

Available bandwidth estimation techniques are being used in network monitoring and management tools to provide information about the utilization of the network and verify the compliance of service level agreements. However, the use of these techniques in other applications and network environments is limited by the convergence time, accuracy, and amount of overhead that they introduce. In this paper, we propose a Hidden Markov Model-based technique to end-to-end available bandwidth estimation and monitoring that improves these performance metrics and therefore promises to expand the use of these techniques in other scenarios. The estimator, which has been implemented in a new tool called Traceband, is as accurate as Spruce and Pathload but considerably faster, and introduce far less overhead. In addition, when compared using bursty cross-traffic, Traceband is the only tool that accurately reacts to zero-traffic periods, which may be particularly useful for those applications that need to make decisions in real time.

Published in:

Internet Network Management Workshop, 2008. INM 2008. IEEE

Date of Conference:

19-19 Oct. 2008