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• W2093231381 abstract "Periodic lightpath reconfiguration of virtual topologies in transparent optical networks has been recently investigated as a mechanism to more efficiently adapt the network to predictable periodic traffic variations along a day or week. Scheduling periodic reconfigurations involves tuning a trade-off between a lower network cost obtained through better resource allocation, and undesired traffic disruptions that these reconfigurations may cause. This paper presents and compares two algorithms for planning a reconfigurable virtual topology suitable for exploring this trade-off. The first is based on a Lagrangean Relaxation of the planning problem, and the second is based on a Tabu Search meta-heuristic. The merits of both algorithms are assessed for moderate network sizes through comparison with analytical lower bounds and exact solutions obtained by a MILP formulation." @default.
• W2093231381 created "2016-06-24" @default.
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• W2093231381 date "2012-05-01" @default.
• W2093231381 modified "2023-09-26" @default.
• W2093231381 title "Heuristic Approaches for Periodic Reconfiguration of Lightpath-based Networks under Multi-hour Traffic" @default.
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• W2093231381 doi "https://doi.org/10.4304/jnw.7.5.800-811" @default.
• W2093231381 hasPublicationYear "2012" @default.
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