Two-state MMPP modeling of ATM superposed traffic streams based on the characterization of correlated interarrival times

Author

Kang, Sang H. ; Sung, Dan K.

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

2

fYear

1995

fDate

14-16 Nov 1995

Firstpage

1422

Abstract

We propose a new two-state Markov modulated Poisson process (MMPP) modeling method based on the characterization of interarrival times in heterogeneous traffic environments. We identify the two state MMPP parameters by matching the distribution and autocovariance functions of interarrival times. Our proposed modeling method can efficiently approximate the ATM superposed traffic and it yields upper estimates of cell loss ratio requirements. The proposed two-state MMPP modeling can be utilized in the traffic characterization of ATM traffic streams and connection admission control

Keywords

Markov processes; asynchronous transfer mode; correlation methods; covariance analysis; modulation; parameter estimation; stochastic processes; telecommunication congestion control; telecommunication traffic; ATM superposed traffic streams; Markov modulated Poisson process; autocovariance function; cell loss ratio; connection admission control; correlated interarrival times; distribution function; modeling method; two state MMPP parameters; two-state MMPP modeling; Aggregates; Asynchronous transfer mode; Convergence; Higher order statistics; Monitoring; Multiplexing; Statistical distributions; Time measurement; Traffic control; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1995. GLOBECOM '95., IEEE

Print_ISBN

0-7803-2509-5

Type

conf

DOI

10.1109/GLOCOM.1995.502636

Filename

502636