计算机工程 ›› 2008, Vol. 34 ›› Issue (24): 34-37.doi: 10.3969/j.issn.1000-3428.2008.24.012

• 博士论文 • 上一篇    下一篇

基于混合预测模型的VBR流拥塞控制机制

李 捷1,吕 冰1,韩志杰1,2   

  1. (1. 河南大学计算机与信息工程学院,开封 475001;2. 南京邮电大学计算机学院,南京 210003)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-12-20 发布日期:2008-12-20

VBR Traffic Congestion Control Mechanism Based on Hybrid Prediction Model

LI Jie1, LV Bing1, HAN Zhi-jie1,2   

  1. (1. College of Computer & Information Engineering, Henan University, Kaifeng 475001; 2. College of Computer, Nanjing University of Post & Telecommunication, Nanjing 210003)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-12-20 Published:2008-12-20

摘要: 针对VBR多媒体流量的数字特征,在混合网络流量预测模型的基础上,结合小波分析和卡尔曼滤波,提出一种多媒体流自适应带宽分配算法,以合理分配网络带宽,利用双重漏桶控制网络流量。在NS网络仿真平台上进行的仿真实验表明,该算法能有效避免网络拥塞,降低网络传输时延和数据丢包率,提高带宽利用率。

关键词: 预测, 拥塞控制, 服务质量

Abstract: According to the characters of MPEG Variable Bit Rate(VBR) traffic, this paper proposes a new network traffic prediction model combinated wavlet analysis and Kalman filter. A VBR traffic congestion management scheme based on the model is presented that is composed of Dual Leaky Bucket(DLB). Simulation on NS platform shows that the scheme can effectively avoid network congestion effectively, reduces the time-delay of network transmission and the lose packet rate, and improves the bandwidth usage.

Key words: prediction, congestion control, QoS

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