CISUC

Simulation Analysis of the UC-QoS Routing Strategy

Authors

Abstract

Quality of Service routing plays a major role in the deployment of services for traffic with special requirements. We developed a Quality of Service routing strategy - the University of Coimbra-Quality of Service routing strategy (UC-QoSR) - suitable for networks where traffic differentiation is done following the class-based paradigm, as in the Differentiated Services framework. This strategy extends the OSPF routing protocol in order to distribute a Quality of Service metric through the network and to compute paths suitable for all traffic classes. Presently, the traffic model evaluated includes four traffic classes. Each class is characterized upon its degree of sensitivity regarding delay and loss. In this paper we describe the main aspects of UC-QoSR, namely, the metric used for path selection and the path selection algorithm. The mechanisms conceived to control the communication and processing overhead induced by the dynamic nature of UC-QoSR are also exposed. The UC-QoSR strategy was evaluated on the Network Simulator (NS). We describe the simulation environment developed, including its core modules and respective interactions. The results concerning UC-QoSR evaluation are presented relatively to communication and processing overhead. We show the efficiency of the mechanisms introduced to reduce communication and processing overhead and evaluate the impact of different network topologies on the results obtained.

Subject

QoS routing

Related Project

QoS II - Quality of Service in Computer Communication Systems

Conference

5th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2001), June 2001


Cited by

Year 2014 : 1 citations

 A Neto, E Cerqueira, L Veloso, T Sousa, V Pereiraâ?¦, Deliverable Number: D-1-1-A (Final), Publication/NA, 2014

Year 2007 : 1 citations

 T Bohnert, E Monteiro, Multi-class measurement based admission control for a QoS framework with dynamic resource management, Journal of Network and Systems Management, 2007