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A Multi-Objective Optimization Scheme for Multicast Routing: A Multitree Approach

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Abstract

In this paper, we propose a multi-objective traffic engineering scheme using different distribution trees to multicast several flows. 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. Moreover, our proposal solves the traffic split ratio for multiple trees. We formulate this multi-objective function as one with Non Linear programming with discontinuous derivatives (DNLP). Results obtained using SNOPT solver show that several weighting objectives are decreased and the maximum link utilization is minimized. The problem is NP-hard, therefore, a novel SPT algorithm is proposed for optimizing the different objectives. The behavior we get using this algorithm is similar to what we get with SNOPT solver. The proposed approach can be applied in MPLS networks by allowing the establishment of explicit routes in multicast events. The main contributions of this paper are the optimization model and the formulation of the multi-objective function; and that the algorithm proposed shows polynomial complexity.

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Authors and Affiliations

  1. Computer Science Department, Universidad del Norte, Barranquilla, Colombia

    Yezid Donoso

  2. Institut d'Informàtica i Aplicacions, Universitat de Girona, Girona, Spain

    Ramon Fabregat & Jose L. Marzo

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  1. Yezid Donoso
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  2. Ramon Fabregat
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  3. Jose L. Marzo
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Donoso, Y., Fabregat, R. & Marzo, J.L. A Multi-Objective Optimization Scheme for Multicast Routing: A Multitree Approach. Telecommunication Systems 27, 229–251 (2004). https://doi.org/10.1023/B:TELS.0000041010.28247.5e

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