博文
Network Traffic Modeling
|||
网络流量建模是计算机网络研究的基础性问题。涉及众多理论交叉与工程问题。流量模型及建模方法现在很多，除了文中提到的方法外，还有小波、多重分形等等。相关方面还有网络流量整形、网络流量预测方法及建模。
下文版权属于:Thomas M. Chen Southern Methodist University, Dallas, Texas
OUTLINE:
1. Introduction
1.1. Packets, flows, and sessions
1.2. The modeling process
1.3. Uses of traffic models
2. Source Traffic Statistics
2.1. Simple statistics
2.2. Burstiness measures
2.3. Long range dependence and self similarity
2.4. Multiresolution timescale
2.5. Scaling
3. Continuous-Time Source Models
3.1. Traditional Poisson process
3.2. Simple on/off model
3.3. Markov modulated Poisson process (MMPP)
3.4. Stochastic fluid model
3.5. Fractional Brownian motion
4. Discrete-Time Source Models
4.1. Time series
4.2. Box-Jenkins methodology
5. Application-Specific Models
5.1. Web traffic
5.2. Peer-to-peer traffic
5.3. Video
6. Access Regulated Sources
6.1. Leaky bucket regulated sources
6.2. Bounding-interval-dependent (BIND) model
7. Congestion-Dependent Flows
7.1. TCP flows with congestion avoidance
7.2. TCP flows with active queue management
8. Conclusions
https://wap.sciencenet.cn/blog-89075-551525.html
上一篇：目前IRTF的11个研究组
下一篇：历届网络编码NETCOD理论国际讨论会
下文版权属于:Thomas M. Chen Southern Methodist University, Dallas, Texas
OUTLINE:
1. Introduction
1.1. Packets, flows, and sessions
1.2. The modeling process
1.3. Uses of traffic models
2. Source Traffic Statistics
2.1. Simple statistics
2.2. Burstiness measures
2.3. Long range dependence and self similarity
2.4. Multiresolution timescale
2.5. Scaling
3. Continuous-Time Source Models
3.1. Traditional Poisson process
3.2. Simple on/off model
3.3. Markov modulated Poisson process (MMPP)
3.4. Stochastic fluid model
3.5. Fractional Brownian motion
4. Discrete-Time Source Models
4.1. Time series
4.2. Box-Jenkins methodology
5. Application-Specific Models
5.1. Web traffic
5.2. Peer-to-peer traffic
5.3. Video
6. Access Regulated Sources
6.1. Leaky bucket regulated sources
6.2. Bounding-interval-dependent (BIND) model
7. Congestion-Dependent Flows
7.1. TCP flows with congestion avoidance
7.2. TCP flows with active queue management
8. Conclusions
https://wap.sciencenet.cn/blog-89075-551525.html
上一篇：目前IRTF的11个研究组
下一篇：历届网络编码NETCOD理论国际讨论会
