On the log-normal distribution of network traffic

Physica D: Nonlinear Phenomena

Volumn 167, Issue 1-2, 2002, Pages 72-85

  Antoniou, I ^a,b   Ivanov, V V ^a,c   Ivanov, Valery V ^c   Zrelov, P V ^c  

^a INTERNATIONAL SOLVAY INSTITUTES   (Belgium)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^c JOINT INSTITUTE FOR NUCLEAR RESEARCH   (Russian Federation)

Author keywords

Flow; Internet; Log normal; Self similarity; Traffic; Wavelet

Indexed keywords

INTERNET; LOCAL AREA NETWORKS; PACKET NETWORKS; STATISTICAL METHODS; WAVELET TRANSFORMS;

NETWORK TRAFFIC;

TELECOMMUNICATION TRAFFIC;

EID: 0036643704     PISSN: 01672789     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-2789(02)00431-1     Document Type: Article

References (36)

1. Über das logarithmisch normale verteilungsgesetz der dimensionen der teilchen bei zerstückelung
2. On the self-similar nature of ethernet traffic (extended version)
3. Self-similarity in high-speed packet traffic: Analysis and modeling of ethernet traffic measurements
4. Statistical characterization of wide-area self-similar network traffic
5. Self-similarity in world web traffic: Evidence and possible causes
6. Protocols can make traffic appear self-similar
7. Recent developments in fractal traffic modelling
8. Analysis of network traffic and its application to design of high-speed routers
9. System for acquisition, analysis and control of network traffic for the JINR local network segment: The Dubna University example
10. Nonlinear analysis of network traffic
11. MINUIT - Function minimization and error analysis
12. PAW - Physics analysis workstation
13. Fitting mixtures of exponentials to long-tail distributions to analyze network performance models (AT&T laboratory research)
14. Wide-area traffic: The failure of Poisson modeling
15. Inter-arrival time distribution for channel arrivals in cellular telephony
16. On a distribution character of metals contents in ore fields
17. Symptoms of instability in a system of earthquake-prone faults
18. The local structure of the turbulence in incompressible viscous fluid for very large Reynolds numbers
19. Is network traffic self-similar or multifractal?
20. Fractals reemerge in the new math of the Internet
21. A multifractal wavelet model with application to network traffic
22. Wavelet transforms of self-similar processes