By Topic

Quality of Service Control in IP Networks Using Fuzzy Logic for Policy Condition Evaluation

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

5 Author(s)

This paper presents the architecture of a policy-based network management system designed specifically for quality of service management, where high level business policies are modeled as ECA (event-condition-action) rules. Specifically, the system is mainly based on the policy architecture being proposed by the IETF (Internet engineering task force), DMTF (distributed management task force), and TMF (telemanagement forum) standardization bodies. This work proposes a novel approach for policy condition evaluation using fuzzy logic. The fuzzy controller has the ability to examine policy conditions differently from default condition analyzers that employ simple conditions formed by a set of (IFs, ANDs and ORs), allowing the consideration and correlation of several input variables before taking decisions for the execution of policy actions. The system have been implemented and evaluated over a test bed network formed by Ciscoreg routers

Published in:

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.

Date of Conference:

25-25 May 2005