Genetic algorithm for finding minimal cost light forest of multicast routing on WDM networks
Journal of Artificial Evolution and Applications - Regular issue
Multiconstrained Optimization of Networks with Multicast and Unicast Traffic
MMNS '08 Proceedings of the 11th IFIP/IEEE international conference on Management of Multimedia and Mobile Networks and Services: Management of Converged Multimedia Networks and Services
Genetic algorithm for finding minimal cost light-forest of multicast routing on WDM networks
Artificial Intelligence Review
M-MENTOR: a design algorithm for IP networks with mixed traffic
WSEAS TRANSACTIONS on COMMUNICATIONS
An IP network design algorithm for mixed traffic
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
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Multicast traffic engineering (TE) has recently attracted significant attention given the emergence of point-to-multipoint multimedia content delivery over the Internet. Existing multicast resource provisioning solutions tend to use explicit-routing based TE with multiprotocol label switching (MPLS) tunnels. In this paper, we shift away from this overlay approach and address native IP multicast traffic engineering based on link state routing protocols. The objective is that, through plain protocol independent multicast-sparse mode (PIM-SM) shortest path routing with optimized multitopology IGP (MT-IGP) link weights, the resulting multicast trees are geared towards minimal consumption of bandwidth resources. We apply genetic algorithms (GA) to the calculation of optimized MT-IGP link weights that specifically cater for engineered PIM-SM routing with statistical bandwidth guarantees in multimedia content delivery. Our evaluation results show that GA-based multicast traffic engineering consumes significantly less bandwidth in comparison to conventional IP approaches while also exhibiting higher service availability