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Abstract: This letter deals with the queueing discipline for the superposition of arrival processes in the asynchronous transfer mode (ATM) case, ...
In this paper, we propose an optimal cell scheduling algorithm for ATM switch using Hopfield neural network. The proposed algorithm finds a set of nonblocking ...
A new energy function of HNN is proposed to correspond to the cell scheduling rules of MSM. The new HNN scheduling algorithm employs all cells updated ...
An optimal scheduling of cells in ATM switch using neural network. In asynchronous transfer mode (ATM), the traffic cells from various information sources ...
A neural network model is presented as a controller for cell scheduling and multiplexing in the switch. Our simulation results under uniform traffic show ...
Sep 1, 2006 · ... scheduling scheme using a neural network to achieve higher throughput for nonblocking ATM switches. ... Cell Dropping Policies in ATM Nodes. <P>We ...
In this paper, we study the possibility of using Evolvable Hardware (EHW) for scheduling real-time traffic in Asynchronous Transfer Mode (ATM) networks.
gence and neural network researchers. RL is based on ... His learning algorithm is based on the TD(0) algorithm, ... dynamic cell scheduling from ATM networks",.
A neural network model is presented as a controller for cell scheduling and multiplexing in the switch. Our simulation results under uniform traffic show ...
A multiple input-queued ATM switching fabrics (ASF) for scheduling cell based on Hopfield neural network (HNN) is proposed. This scheme eliminates degeneration ...