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The AQM (Active Queue Management) Algorithm such as RED, PI, REM have too long respond time and some other problems. Though it makes some enhancement, the PID (Proportional Integral Differential) active queue management algorithm can not make the queue length converge to expectation with longer delay. Because of self-adapt control of BP (back-propagation) neural network, this issue bring forward a...
IP networks are more and more used to transport real-time services. A crucial factor for real-time services is the end-to-end delay experienced by the application. The contribution resulting from the queuing delay induced by the network nodes is the most difficult to calculate. Under assumptions of real-time traffic behaviors and network nodes behaviors, the transportation of real-time traffic is...
For the congestion problems in high-speed networks, a Q-learning model-independent flow controller is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. In this case, the Q-learning, which is independent of mathematic model and prior-knowledge, has good performance. In this paper, the flow with higher...
With the ever-increasing number of multicast data applications recently, considerable efforts have been focused on the design of flow control schemes for multicast services. The main difficulties in designing a flow controller for multicast service are caused by heterogeneous multicast receivers, especially those with large propagation delays, since the feedback arriving at the source is somewhat...
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