Analysis of multi-path routing
IEEE/ACM Transactions on Networking (TON)
Internet QoS: Architectures and Mechanisms for Quality of Service
Internet QoS: Architectures and Mechanisms for Quality of Service
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Explicit Multicast Routing Algorithms for Constrained Traffic Engineering
ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
Guest Editorial Network Support for Multipoint Communication
IEEE Journal on Selected Areas in Communications
A multitree approach for multicast routing
LANC '05 Proceedings of the 3rd international IFIP/ACM Latin American conference on Networking
Hashing based traffic partitioning in a multicast-multipath MPLS network model
LANC '05 Proceedings of the 3rd international IFIP/ACM Latin American conference on Networking
Multi-objective optimization scheme for multicast flows: a survey, a model and a MOEA solution
LANC '05 Proceedings of the 3rd international IFIP/ACM Latin American conference on Networking
Solving the GMM-model with a MOEA
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
| Hi-index | 0.00 |
This paper proposes a traffic engineering scheme using different distribution trees to several multicast flows. We formulate this problem as one with Non Linear programming with discontinuous derivatives (DNLP). The aim is to combine into a single aggregated metric the following weighting objectives: the maximum link utilization, the hop count, the total bandwidth consumption and the total end-to-end delay. Our proposal solves the traffic split ratio for multiple trees. The proposed approach is applied in MPLS networks by allowing the establishment of explicit routes in multicast events. Furthermore, the results obtained with GAMS tools show that several objectives are decreased; the maximum link utilization is minimized. The main contribution of this paper is the optimization model and the formulation of the multi-objective function.