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Neural network based scheduling for variable-length packets in Gigabit router with crossbar switch fabric and input queuing
Authors:Email author" target="_blank">Li?Sheng-hongEmail author  Xue?Zhi  Li?Jian-hua  Zhu?Hong-wen
Institution:(1) Department of Electronic Engineering, Shanghai Jiaotong University, 200030 Shanghai, China
Abstract:A high-speed and effective packet scheduling method is crucial to the performance of Gigabit routers. The paper studies the variable-length packet scheduling problem in Gigabit router with crossbar switch fabric and input queuing, and a scheduling method based on neural network is proposed. For the proposed method, a scheduling system structure fit for the variable-length packet case is presented first, then some rules for scheduling are given, At last, an optimal scheduling method using Hopfield neural network is proposed based on the rules. Furthermore, the paper discusses that the proposed method can be realized by hardware circuit. The simulation result shows the effectiveness of the proposed method.
Keywords:scheduling  neural networks  input queuing  gigabit router
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