Title :
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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.761292
