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Network Traffic Modeling

已有 5963 次阅读 2012-3-25 12:58 |个人分类:计算机网络理论与工程|系统分类:论文交流| Traffic

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

Network Traffic Modeling.pdf



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