Self-similar network traffic and performance evaluation [Book Review]

2001 ◽  
Vol 18 (1) ◽  
pp. 94-95
Keyword(s):  
Performance Evaluation ◽  
Network Traffic ◽  
Self Similar ◽  
And Performance

scholarly journals Advanced Models and Algorithms for Self-Similar IP Network Traffic Simulation and Performance Analysis

2010 ◽  
Vol 61 (6) ◽  
pp. 341-349 ◽  
Author(s):  
Dimitar Radev ◽  
Izabella Lokshina
Keyword(s):  
Performance Analysis ◽  
Network Traffic ◽  
Traffic Simulation ◽  
Traffic Data ◽  
Fractal Models ◽  
Wide Range ◽  
Ip Network ◽  
Self Similar ◽  
Markov Modulated ◽  
And Performance

Advanced Models and Algorithms for Self-Similar IP Network Traffic Simulation and Performance Analysis The paper examines self-similar (or fractal) properties of real communication 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. Advanced fractal models of sequentional generators and fixed-length sequence generators, and efficient algorithms that are used to simulate self-similar behavior of IP network traffic data are developed and applied. Numerical examples are provided; and simulation results are obtained and analyzed.

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