Technique for TCP over ATM traffic prediction in the presence of traffic policing

Author

Wrazen, Marian ; Bromirski, Mark ; Lysek, Krzysztof

Author_Institution

Mil. Univ. of Technol., Warsaw, Poland

Volume

1

fYear

2001

fDate

2001

Firstpage

737

Abstract

ATM (asynchronous transfer mode) traffic management techniques require tools that can predict the value of traffic. This paper proposes a new method of TCP self-similar traffic prediction. A self-similar traffic is characterised by an autocorrelation function that decays as a power of the lag time. Based on computer simulation results, it is concluded that the multilayer neural network is a useful tool for self-similar traffic prediction.

Keywords

asynchronous transfer mode; local area networks; neural nets; prediction theory; telecommunication traffic recording; transport protocols; LAN traffic measurements; TCP over ATM; asynchronous transfer mode; autocorrelation function; multilayer neural network; self-similar traffic prediction; traffic policing; Asynchronous transfer mode; Communication system traffic control; Computer simulation; Current measurement; Large-scale systems; Local area networks; Multi-layer neural network; Telecommunication traffic; Time measurement; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 2001. MILCOM 2001. Communications for Network-Centric Operations: Creating the Information Force. IEEE

Print_ISBN

0-7803-7225-5

Type

conf

DOI

10.1109/MILCOM.2001.985931

Filename

985931