基于自学习模式下的网络流量控制研究

Network Flow Control Based on a Self-Learn Pattern

  • 摘要: 在对 ATM网络中交换机内部输出缓冲区队列长度的影响因素进行分析的基础上 ,提出一种基于自学习方式的流量控制方法 .运用自学习的理论调节速率达到流量控制的目的 ,并比较分析一些新型网络流量智能控制方法 .仿真结果表明 ,该方法具有很好的稳定性、瞬态性以及稳态性能 ,而且在动态响应方面优于模糊控制 .通过这种流量控制可避免和缓解拥塞 ,提高网络性能 ,有效利用网络资源 .

     

    Abstract: A self learn flow control mechanism is proposed to adjust the velocity based on the analysis of the effect of output buffer queue inside the ATM switch. Using this method, the best flow control effect can be gained. Besides, some new types of intelligent network flow control methods are compared. The results of simulation show that this method has excellent stability, dynamic response and can avoid and release congestion, improve network performance and use network resources efficiently.

     

/

返回文章
返回
Baidu
map