Title :
Statistical division based modeling for multimedia network traffic
Author :
Li, Baibing ; De Moor, Bart
Author_Institution :
Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium
Abstract :
For Markov modulated Poisson process (MMPP) models, a statistical division (SD) based modeling approach is proposed for multimedia network traffic. Due to its exploiting information from observed data, the SD can make significant reductions of problem-scales and then lead to a fast algorithm in comparison with the previously proposed non-informed division (NID) approach (reduced to 5.84% of the CPU time in the practical case given in this paper). Thus, modeling of MMPP can be largely speeded up to trace multimedia network traffic
Keywords :
Markov processes; Poisson distribution; modelling; multimedia communication; statistical analysis; telecommunication traffic; time-domain analysis; Markov modulated Poisson process models; fast algorithm; multimedia network traffic; statistical division based modeling; Communication system traffic control; Computer networks; Distribution functions; Large-scale systems; Parameter estimation; Signal processing algorithms; Stochastic processes; Streaming media; Telecommunication traffic; Traffic control;
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
DOI :
10.1109/ISSPA.1999.818104
