By Topic

Analysis of a Real-Time Network using Statistical Network Calculus with Effective Bandwidth and Effective Capacity

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 $33
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)
Kishore Angrishi ; Institute for Communication Networks, 4-06, Hamburg University of Technology, Germany ; Ulrich Killat

The Internet traffic consists of an increasing amount of soft real-time flows, which can tolerate very small delay variation and losses. Allowing probabilistic Quality of Service (QoS) violation for these flows can greatly help to improve resource utilization. However, this improvement depends on the statistical properties of competing independent flows and the resources (capacity and buffer) of the multiplexing link. The notion of effective bandwidth summarizes the statistical properties and the QoS requirements of the flow. Similarly, the time varying resource availability to the arrival process at the link can be summarized using the notion of effective capacity. This paper expresses the QoS measures at the link in terms of effective capacity using the large deviations theory. Further, it applies the general formulation of effective bandwidth and effective capacity within the framework of the statistical network calculus for an efficient per-hop analysis of the feed-forward network with finite number of independent sources. This new approach enables efficient utilization of statistical multiplexing of independent flows both at the ingress of the network and along the path of the flow.

Published in:

Measuring, Modelling and Evaluation of Computer and Communication Systems (MMB), 2008 14th GI/ITG Conference -

Date of Conference:

March 31 2008-April 2 2008