Kalman prediction method for congestion avoidance in ATM networks

Author

Lim, Azman Osman ; Ab-Hamid, Khairuddin

Author_Institution

Fac. of Inf. Technol., Univ. Malaysia Sarawak, Malaysia

Volume

1

fYear

2000

fDate

2000

Firstpage

346

Abstract

Prediction plays a key role in almost all walks of life. Therefore, a new prediction-based method, known as Kalman congestion avoidance (KACA) scheme is presented for traffic and congestion management in asynchronous transfer mode (ATM) networks. Also, an effort has been made to compare two different congestion avoidance schemes for ATM networks with the KACA scheme, such as Ohio State University (OSU) scheme and dynamic-congestion avoidance using proportional control (D-CAPC) scheme. It begins by describing the description briefly of each of these schemes. Based on the discussions, we summarize the properties for each of these schemes

Keywords

Kalman filters; asynchronous transfer mode; prediction theory; proportional control; telecommunication congestion control; telecommunication traffic; ATM networks; D-CAPC scheme; KACA scheme; Kalman congestion avoidance; OSU scheme; Ohio State University scheme; asynchronous transfer mode; congestion avoidance; congestion management; dynamic-congestion avoidance; prediction method; proportional control; traffic management; Asynchronous transfer mode; Bandwidth; Communication system traffic control; High-speed networks; Intelligent networks; Kalman filters; Prediction methods; Quality of service; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2000. Proceedings

Conference_Location

Kuala Lumpur

Print_ISBN

0-7803-6355-8

Type

conf

DOI

10.1109/TENCON.2000.893687

Filename

893687