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- W2001606211 abstract "Modeling the traffic demands accurately has important significance for network resource utilization and performance optimization. The uncertainty of demands has made the long term forecasting of traffic a particularly difficult problem. So the traffic model named as sliding scheduled lightpath demands (SSLDs) is considered in this paper. A time-disjointness maximizing algorithm is proposed, which is combined with simulated annealing (SA) algorithm to solve routing and resource assignment problem for SSLDs. This solution is evaluated and compared with two fixed routing algorithms. Simulation results show that SA algorithm has a better performance for routing and resource assignment." @default.
- W2001606211 created "2016-06-24" @default.
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- W2001606211 date "2008-11-13" @default.
- W2001606211 modified "2023-09-23" @default.
- W2001606211 title "Resource assignment for sliding scheduled lightpath demands" @default.
- W2001606211 cites W2017900062 @default.
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- W2001606211 doi "https://doi.org/10.1117/12.802826" @default.
- W2001606211 hasPublicationYear "2008" @default.
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