Quality of service control in IP networks using Fuzzy Logic for policy condition evaluation

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 Cisco® routers

Fuzzy Controller Based QoS Routing Algorithm with a Multiclass Scheme for MANET

A mobile ad hoc network (MANET) consists of a set of mobile hosts that can communicate with each other without the assistance of base stations. Due to the dynamic nature of the network topology and restricted resources, quality of service (QoS) and multicast routing in MANET are challenging tasks which attract the interests of many people. In this paper, we present a fuzzy controller based QoS routing algorithm with a multiclass scheme (FQRA) in mobile ad hoc networks. The performance of this scheduler is studied using NS2 (Network Simulator version 2) and evaluated in terms of quantitative measures such as packet delivery ratio, path success ratio and average end-to-end delay. Simulations show that the approach is efficient, promising and applicable in ad hoc networks

QoS Provisioning across a DiffServ Domain using Policy-Based Management

The Differentiated Services architecture has been proposed to offer quality of service in the Internet. Most works on Diffserv (DS) handles QoS guarantees in a per node basis, which assumes that assuring QoS in a single node also leads to the desired QoS in the entire DS domain. Nevertheless, this is not always true. This paper proposes a framework that offers QoS in a DS domain using Policy-based Management and fuzzy logic techniques. The QoS controller reconfigures all DS nodes according to ingress traffic and domain policies. Policy Based Management is used in this framework to provide QoS in DS domain, controling heterogeneous equipments of different manufacturers. The performance and functionalities of a prototype are shown by simulation of a voice over IP application in different DS topologies