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A self-sizing framework for adaptive resource allocation in label-switched networks

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2 Author(s)
Wentao Shen ; Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada ; Devetsikiotis, M.

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.

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Modeling, Analysis and Simulation of Computer and Telecommunications Systems, 2002. MASCOTS 2002. Proceedings. 10th IEEE International Symposium on

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