Nonlinear time-series model for VBR video traffic

Author

Davis, Jimmie L. ; Chandra, Kishor ; Thompson, Charles

Author_Institution

Center for Adv. Comput. & Telecommun., Massachusetts Univ., Lowell, MA, USA

fYear

2000

fDate

2000

Firstpage

678

Lastpage

683

Abstract

Variable bit rate (VBR) H.261 encoded video traffic is modeled by a nonlinear time series process. A threshold autoregressive (TAR) process is of particular interest. The TAR model is comprised of a set of autoregressive (AR) processes that are switched according to the amplitude of bit rates of the time series. The TAR model is shown to capture accurately the statistical characteristics of multiplexed video sources. The buffer occupancy in a first-in first-out (FIFO) deterministic service queue using sources modeled by a TAR is compared with Markov chain based processes and it is shown that a TAR model of lower complexity yields comparable results

Keywords

autoregressive processes; queueing theory; telecommunication traffic; time series; visual communication; FIFO deterministic service queue; H.261 encoded video traffic; Markov chain based processes; TAR model; VBR video traffic; buffer occupancy; first-in first-out deterministic service queue; multiplexed video sources; nonlinear time-series model; statistical characteristics; threshold autoregressive process; variable bit rate traffic; Bit rate; Communication switching; Encoding; IP networks; Packet switching; Quality of service; Telecommunication computing; Telecommunication traffic; Traffic control; Web and internet services;

fLanguage

English

Publisher

ieee

Conference_Titel

Local Computer Networks, 2000. LCN 2000. Proceedings. 25th Annual IEEE Conference on

Conference_Location

Tampa, FL

ISSN

0742-1303

Print_ISBN

0-7695-0912-6

Type

conf

DOI

10.1109/LCN.2000.891115

Filename

891115