计算机科学 ›› 2011, Vol. 38 ›› Issue (Z10): 286-287.

• 分布式与网络应用 • 上一篇    下一篇

基于定性动态概率网络的网络拥塞控制

钱民,唐克生   

  1. (昆明冶金高等专科学校计算机信息学院 昆明 650033); (昆明冶金高等专科学校物流学院 昆明 650033)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Network Congestion Control Based on Qualitative Dynamic Probabilistic Networks

QIAN Min, TANG Ke-sheng   

  • Online:2018-11-16 Published:2018-11-16

摘要: 网络拥塞已经成为了人们普遍关注的问题。目前,针对网络拥塞控制的研究,提出了一些具体的方法和建议,但其都不能很好地解决网络拥塞。定性动态概率网络(QDPNs)是目前进行动态地推理不确定知识领域最有效的模型之一。提出了一种基于定性动态概率网络的网络拥塞控制,该方法能够有效地对网络拥塞进行预测,在预测的基础上给出了相应的拥塞控制策略。

关键词: 定性动态概率网络,网络拥塞控制

Abstract: Network congestion has become a widespread concern. At present, research based on network congestion control has present some specific methods and suggestions, but they arc not able to solve the network congestion well.Qualitative Dynamic Probabilistic Networks(QDPNs) are one of the most efficient models in the uncertain knowledge and dynamically reasoning field. This paper presented a network congestion control method based on QDPNs. This method can effectively predict network congestion, and then we can get the corresponding congestion control strategy according to the prediction before.

Key words: Qualitative dynamic probabilistic networks,Network congestion control

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