| 基于定性动态概率网络的网络拥塞控制 |
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| 引用本文： | 钱民,唐克生. 基于定性动态概率网络的网络拥塞控制[J]. 计算机科学, 2011, 0(Z1) |
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| 作者姓名： | 钱民 唐克生 |
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| 作者单位： | 昆明冶金高等专科学校计算机信息学院;昆明冶金高等专科学校物流学院; |
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| 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。
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| 关 键 词： | 定性动态概率网络 网络拥塞控制 |
Network Congestion Control Based on Qualitative Dynamic Probabilistic Networks |
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| QIAN Min TANG Ke-sheng. Network Congestion Control Based on Qualitative Dynamic Probabilistic Networks[J]. Computer Science, 2011, 0(Z1) |
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| Authors: | QIAN Min TANG Ke-sheng |
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| Affiliation: | QIAN Min1 TANG Ke-sheng2(School of Computer Information,Kunming Metallurgy College,Kunming 650033,China)1(School of Logistics,China)2 |
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| 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 are 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... |
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| Keywords: | Qualitative dynamic probabilistic networks Network congestion control |
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