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37th Annual IEEE Conference on Local Computer Networks
Models and algorithms for elastic-demand network equilibrium problems in communication networks with multicast sessions
Clearwater Beach, FL, USA USA
October 22-October 25
ISBN: 978-1-4673-1565-4
Xuefeng Ma, School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China
Jinpeng Huai, School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China
Bo Li, School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China
Hanwen Wang, School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China
Ye Jiao, School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China
We consider the problem of elastic-demand network equilibrium in communication networks which support both multirate multicast sessions and unicast sessions. Extending existing work for unicast sessions, we first present the elastic-demand network equilibrium models in different multicast sessions, which can be formulated as a convex programming problem. To solve the convex programming problem we use the augmented Lagrangian multiplier algorithm in which the attractive features of the exterior penalty with primal-dual methods and Lagrangian multipliers concepts are combined while curtailing the disadvantage of both. Some numerical results about unicast sessions and multirate multicast sessions are demonstrated through efficient implementations of the augmented Lagrangian multiplier algorithm.
Index Terms:
Unicast,Programming,Vectors,Receivers,Communication networks,Optimization,Indexes,elastic flows,equilibria,unicast,multirate multicast
Citation:
Xuefeng Ma, Jinpeng Huai, Bo Li, Hanwen Wang, Ye Jiao, "Models and algorithms for elastic-demand network equilibrium problems in communication networks with multicast sessions," lcn, pp.312-315, 37th Annual IEEE Conference on Local Computer Networks, 2012
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