scholarly journals A Model of Self-Similar Data Traffic Applied to Ethernet Traces

2000 ◽  
pp. 3-21
Author(s):  
J. J. Gordon ◽  
F. Huebner-Szabo de Bucs
Keyword(s):  
Similar Data ◽  
Data Traffic ◽  
Self Similar

scholarly journals On the Self-Similar Nature of ATM Network Traffic

10.28945/3145 ◽  
2007 ◽  
Author(s):  
Humam Elagha ◽  
Maher AlShafee
Keyword(s):  
Communication Networks ◽  
Network Traffic ◽  
Multimedia Traffic ◽  
Data Traffic ◽  
Atm Network ◽  
Analysis And Design ◽  
Recorded Data ◽  
Self Similar ◽  
Performance Analysis And Design ◽  
New Applications

Modeling multimedia traffic is an important issue in performance analysis and design of communication networks. With introduction of new applications, the characteristics of data traffic changes. In this paper, a measurement study of ATM Network traffic has been carried out and it is shown that the recorded data exhibit self-similar features. The conclusions are supported by a comprehensive analysis using one of the most popular statistical methods called Indices of Dispersion. Our results validate one of the most striking findings of the present teletraffic research: a broad range of packet network traffic has fractal-like behavior. We also investigate three popular synthetic self-similar traffic models and find out the most accurate one for the measured traffic.

The Performance Analysis of CDMA Traffic Access Self-Similar Equalization Protocol

2014 ◽  
Vol 490-491 ◽  
pp. 1205-1208
Author(s):  
Liang Zheng ◽  
Bin Yan
Keyword(s):  
Performance Analysis ◽  
Power Law ◽  
Performance Optimization ◽  
Random Access ◽  
Data Traffic ◽  
Similar Model ◽  
Network Load ◽  
Self Similar ◽  
Simulation Results ◽  
Access Technique

The random access technique has a bigger influence to the performance optimization of CDMA data traffic. A CDMA random access technique based on self-similar model and its performance analysis are put forward in this paper. The simulation results indicate that the access performance of CDMA data traffic based on self-similar model is attenuated by power law, related to such parameters as fractal coefficient H and network load G. The CDMA traffic access self-similar equalization protocol (TASEP) is put forward and it can improve the access performance of CDMA data traffic distinctly.

Analysis of self-similar data by artificial neural networks

2011 ◽  
Author(s):  
Sergio Ledesma ◽  
Jose Ruiz ◽  
Guadalupe Garcia ◽  
Gabriel Avina ◽  
Donato Hernandez
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Similar Data ◽  
Self Similar ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document