Information measure based stochastic system identification of ATM network traffic

Author

Li, Baibing ; De Moor, Bart

Author_Institution

Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium

Volume

5

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

2683

Abstract

For ATM network traffic, a new approach based on the Kullback-Leibler (1959) information measure is proposed for stochastic system identification of packet traffic. This approach, equivalent to the maximum marginal likelihood estimate, can overcome the over-modeling problem discussed by De Cock and De Moor. (see Proceedings of ELISIPCO-98, 1998) such that much more parsimonious model order N can be obtained, and then can lead to a significant reduction in the latter queueing analysis involving in O(N³) computational complexity. A practical case study is provided for a set of Internet traffic data

Keywords

Markov processes; asynchronous transfer mode; computational complexity; identification; information theory; modulation; packet switching; queueing theory; stochastic processes; telecommunication traffic; ATM network traffic; Internet traffic data; Markov modulated Poisson process; computational complexity reduction; information measure; maximum marginal likelihood estimate; over-modeling problem; packet traffic; parsimonious model; queueing analysis; stochastic system identification; Communication system traffic control; Computational complexity; Distribution functions; Electric variables measurement; Internet; Queueing analysis; Stochastic processes; Stochastic systems; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.761292

Filename

761292