DocumentCode
3336922
Title
Statistical scaling analysis of TCP/IP data using cascades
Author
Roux, S. ; Veitch, D. ; Abry, P. ; Huan, L. ; Micheel, J. ; Flandrin, P.
Author_Institution
Ecole Normale Superieure de Lyon, France
Volume
6
fYear
2001
fDate
2001
Firstpage
3425
Abstract
The scaling properties of Internet data are analysed in detail through the unifying viewpoint of infinitely divisible cascades (IDC). From exceptionally precise TCP/IP traffic traces are extracted time series including arrival rate, durations, and interarrival times of TCP connections. We show that IDC offer a pertinent description of these series. Relations between them are investigated, yielding insights on the sources of the scaling and possible modelling approaches
Keywords
Internet; queueing theory; telecommunication traffic; time series; transport protocols; Internet data; TCP/IP data; arrival rate; cascades; durations; infinitely divisible cascades; interarrival times; modelling; statistical scaling analysis; time series; traffic traces; Australia; Fractals; IP networks; Internet; Loss measurement; Payloads; Protocols; TCPIP; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940577
Filename
940577
Link To Document