Automated modeling of broadband network data using the QTES methodology

Author

Klaoudatos, Gerasimos ; Devetsikiotis, Michael ; Lambadaris, Ioannis

Author_Institution

Nortel Networks, Canada

Volume

1

fYear

1999

fDate

1999

Firstpage

397

Abstract

The objective of this paper is to investigate a modeling methodology called QTES (quantized transform-expand-sample) which can be used to model network traffic taking into consideration both the marginal and the autocorrelation function of the empirical data. An effort is made towards an algorithmic procedure rather than a heuristic search, thereby largely automating QTES modeling

Keywords

broadband networks; correlation methods; optimisation; quantisation (signal); search problems; signal sampling; telecommunication networks; telecommunication traffic; transforms; QTES methodology; autocorrelation function; automated modeling; broadband network data; correlation structure; exhaustive search; exhaustive search local optimization algorithm; local nonlinear programming; marginal; network traffic modeling; quantized transform-expand-sample; video traffic; Autocorrelation; Broadband communication; Communication networks; Computer networks; Data engineering; Probability distribution; Streaming media; Systems engineering and theory; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1999. ICC '99. 1999 IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-5284-X

Type

conf

DOI

10.1109/ICC.1999.767971

Filename

767971