Multicast routing for multimedia communication
IEEE/ACM Transactions on Networking (TON)
On Multicasting with Minimum Costs for the Internet Topology
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Stochastic models for the Web graph
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Performance evaluation of crossover switch discovery algorithms for wireless ATM LANs
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
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
On estimation for reducing multicast delay variation
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
On algorithm for efficiently combining two independent measures in routing paths
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
IEEE Communications Magazine
Multicast routing with end-to-end delay and delay variation constraints
IEEE Journal on Selected Areas in Communications
On multicasting steiner trees for delay and delay variation constraints
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
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With the rapid evolution of real time multimedia applications like audio/video conferencing, interactive distributed games and real time remote control system, a certain Quality of Service (QoS) needs to be guaranteed in underlying networks. Multicast routing algorithms should support the required QoS. There are two important QoS parameters, bounded delay and delay variation, that need to be guaranteed in order to support the real time multimedia applications. Here we solve Delay and delay Variation Bounded Multicast Tree (DVBMT) problem which has been proved to NP-complete. In this paper, we propose an efficient algorithm for DVBMT. The performance enhancement is up to about 21.7% in terms of delay variation as compared to the well-known algorithm, KBC [9].