This paper illustrates the application of statistical-learning control results for the design of an Available Bit Rate (ABR) congestion control algorithm. The proposed methodology allows us to take into account the nonlinearities of the model and the uncertainty of the parameters in the design phase. Some simulation results are shown.
Statistical-learning control of an ABR explicit rate algorithm for ATM switches
ARIOLA, Marco;
2000-01-01
Abstract
This paper illustrates the application of statistical-learning control results for the design of an Available Bit Rate (ABR) congestion control algorithm. The proposed methodology allows us to take into account the nonlinearities of the model and the uncertainty of the parameters in the design phase. Some simulation results are shown.File in questo prodotto:
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