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Practical Implementation Issues of Lagrangian Based Distributed Optimization Algorithms

Remi Bertin 1, 2 Pierre Coucheney 2 Arnaud Legrand 2 Corinne Touati 2
2 MESCAL - Middleware efficiently scalable
LIG - Laboratoire d'Informatique de Grenoble, Inria Grenoble - Rhône-Alpes
Abstract : In this article, we illustrate practical issues arising in the development of efficient implementation of distributed algorithms that solve a general (concave) constrained maximization problem. Such optimizations arise in many situations. One typical example is those of resource allocation in computer networks, where the system aims at maximizing some global function of the users individual throughput subject to link capacity constraints.
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Submitted on : Friday, February 15, 2013 - 1:11:06 PM
Last modification on : Friday, January 21, 2022 - 3:23:45 AM




Remi Bertin, Pierre Coucheney, Arnaud Legrand, Corinne Touati. Practical Implementation Issues of Lagrangian Based Distributed Optimization Algorithms. 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (Synasc), 2010, Timisoara, Romania. pp.331-334, ⟨10.1109/SYNASC.2010.80⟩. ⟨hal-00788878⟩



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