Evaluating the impact of stale link state on quality-of-service routing
IEEE/ACM Transactions on Networking (TON)
Difficulties in simulating the internet
IEEE/ACM Transactions on Networking (TON)
Adaptive proportional routing: a localized QoS routing approach
IEEE/ACM Transactions on Networking (TON)
Distributed Quality-of-Service Routing in High-Speed Networks Based on Selective Probing
LCN '98 Proceedings of the 23rd Annual IEEE Conference on Local Computer Networks
BRITE: An Approach to Universal Topology Generation
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Effects of topology on the performance of localized QOS routing algorithms
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Routing of multipoint connections
IEEE Journal on Selected Areas in Communications
IEEE Network: The Magazine of Global Internetworking
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Localized Quality of Service (QoS) routing has been recently proposed for supporting the requirements of multimedia applications and satisfying QoS constraints. Localized algorithms avoid the problems associated with the maintenance of global network state by using statistics of flow blocking probabilities. Using local information for routing avoids the overheads of global information with other nodes. However, localized QoS routing algorithms perform routing decision based on information updated from path request to path request. This paper proposes to tackle a combined localized routing and admission control in order to avoid congestion. We introduce a Congestion Avoidance Routing algorithm (CAR) in localized QoS routing which make a decision of routing in each connection request using an admission control to route traffic away from congestion. Simulations of various network topologies are used to illustrate the performance of the CAR. We compare the performance of the CAR algorithm against the Credit Based Routing (CBR) algorithm and the Quality Based Routing (QBR) under various ranges of traffic loads.