Title :
Self-similar and fractal nature of Internet traffic data
Author :
Mansfield, G. ; Roy, T.K. ; Shiratori, N.
Author_Institution :
Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan
Abstract :
The Internet traffic being extremely variable and bursty in a wide range of time scales is usually characterised by a self-similarity parameter (β), which describes its statistics depending on the scales of resolution. We study the characteristics on some previous data and observe that it can have another parameter which is its fractal dimension (D)
Keywords :
Internet; fractals; statistical analysis; telecommunication traffic; Internet traffic data; bursty traffic; fractal characteristics; fractal dimension; self-similarity parameter; statistics; variable traffic; Autocorrelation; Electronic mail; Floods; Fractals; Frequency; Internet; Laboratories; Predictive models; Statistics; Traffic control;
Conference_Titel :
Information Networking, 2001. Proceedings. 15th International Conference on
Conference_Location :
Beppu City, Oita
Print_ISBN :
0-7695-0951-7
DOI :
10.1109/ICOIN.2001.905432
