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The traffic grooming technique provides a two-layer traffic engineering capability by aggregating and routing up-layer low-bandwidth traffic flows over low-layer re-configurable routed high-bandwidth connections. In this paper, the authors optimize traffic grooming for static traffic in mesh Wavelength Division Multiplexing (WDM) networks with wavelength converters. The optimization objective is to maximize network profit, which is the difference between resource cost and the revenue generated (by selecting profitable traffic flows). A constrained integer linear programming formulation is given, and a decomposition using Lagrangian relaxation is proposed.
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