Analytical Study of Internet Routers Under Self-Similar Network Traffic with Voids

The paper examines self-similar properties of real telecommunications network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Simulation with stochastic and long range dependent traffic source models is performed, and the algorithms for buffer overflow simulation for finite buffer single server model under self-similar traffic load SSM/M/1/B are explained. The algorithms for modeling fixed-length sequence generators that are used to simulate self-similar behavior of wireless IP network traffic are developed and applied. Numerical examples are provided, and simulation results are analyzed.

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Self-Similar Network Traffic Modelling Using Fractal Point Process-Markovian Approach

Fractals, Wavelets, and their Applications - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-08105-2_27 ◽

2014 ◽

pp. 413-425 ◽

Cited By ~ 1

Author(s):

Rajaiah Dasari ◽

Ramesh Renikunta ◽

Malla Reddy Perati

Keyword(s):

Point Process ◽

Network Traffic ◽

Traffic Modelling ◽

Self Similar ◽

Markovian Approach

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Research of the Method for Traffic Generating Based on Genetic Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.701-702.3 ◽

2014 ◽

Vol 701-702 ◽

pp. 3-7

Author(s):

Liu Bo

Keyword(s):

Genetic Algorithm ◽

Network Traffic ◽

Large Scale ◽

Network Reliability ◽

Actual Usage ◽

Large Scale Network ◽

Scale Network ◽

Self Similar ◽

Optimal Values

It has great impact on result of the network test or simulation if the test simulated traffic is corresponding to real situation. The network traffic is the superposition of different traffic streams in the actual usage of the network. But because of the complexity and time-consumption to generate different traffic streams, it is difficult to generate the network traffic in the simulation for the large scale network. This paper proposes a kind of method for traffic generating based on genetic algorithm .According to building the self-similar traffic model ,the optimal values of the model’s parameters has been obtained. A case study shows the effectiveness of the method for the network reliability.

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