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One of the fundamental issues in asynchronous transfer mode (ATM) networks is the congestion problem of information flow. Due to the complexity and variability of ATM, it is difficult to accurately describe the characteristics of source traffic. This paper presents a traffic controller to solving the congestion problem by using Q-learning conjunction with simulated annealing. In stead of relying on...
For the asynchronous transfer mode (ATM) networks with time-varying multiple time-delays, a fuzzy-immune controller is designed, which can adjust the rates of available bit rate (ABR) traffic class on-line and satisfy the weighted fairness. A common Lyapunov function is found to prove the stability of the closed-loop systems based on the fuzzy rules. The algorithm exhibits good performance, and most...
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