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- W1878660943 abstract "For adaptive resource allocation to maintain its crucial timing requirements in large-scale networks, fast analysis and synthesis algorithms are required in order to process freshly collected traffic data. In this paper we build on previous work to introduce a general measurement-based self-sizing framework for resource allocation in label-switched networks. Furthermore, we study the scaling behavior of the simulated annealing variant used in the analysis and synthesis algorithm. We propose a hierarchical approach to improve adaptation performance for large networks and include extensive simulation results indicating significant improvement in performance as networks get larger." @default.
- W1878660943 created "2016-06-24" @default.
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- W1878660943 date "2003-06-25" @default.
- W1878660943 modified "2023-09-25" @default.
- W1878660943 title "A self-sizing framework for adaptive resource allocation in label-switched networks" @default.
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- W1878660943 doi "https://doi.org/10.1109/mascot.2002.1167111" @default.
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