Title :
Prediction-based network bandwidth control
Author :
Jin, Zhigang ; Shu, Yantai ; Liu, Jiakun ; Yang, Oliver W W
Author_Institution :
Dept. of Comput. Sci., Tianjin Univ., China
Abstract :
The fractional autoregressive integrated moving average, FARIMA (p,d,q) model, is capable of capturing both the long-range and short-range dependence in the video traffic. We propose a prediction-based bandwidth allocation scheme for integrated service packet networks using the FARIMA (p,d,q) model. Our simulation experiments show that this scheme can significantly reduce the requirement of buffer size and the frame loss rate
Keywords :
autoregressive moving average processes; bandwidth allocation; buffer storage; packet switching; prediction theory; queueing theory; telecommunication congestion control; telecommunication networks; visual communication; FARIMA (p,d,q) model; bandwidth allocation; buffer size reduction; fractional autoregressive integrated moving average; frame loss rate reduction; integrated service packet networks; long-range dependence; prediction-based network bandwidth control; queue length; short-range dependence; simulation experiments; video traffic; Bandwidth; Channel allocation; Communication system traffic control; Computer science; Intserv networks; Mathematical model; Parameter estimation; Predictive models; Telecommunication traffic; Traffic control;
Conference_Titel :
Electrical and Computer Engineering, 2000 Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-5957-7
DOI :
10.1109/CCECE.2000.849550
