Peakedness of stochastic models for high-speed network traffic

Author

Mark, Brian L. ; Jagerman, David L. ; Ramamurthy, G.

Author_Institution

Dept. of Electr. Eng., Princeton Univ., NJ, USA

fYear

1995

fDate

17-22 Sep 1995

Firstpage

42

Abstract

In networks based on the asynchronous transfer mode (ATM), information is transmitted asynchronously over high-speed links in the form of 53-byte units called cells. Accurate traffic characterization is a crucial step in performing network resource allocation and dimensioning. Peakedness was originally developed by teletraffic engineers as a tool for characterizing call arrival processes at a trunk group. We generalize the peakedness theory to include a class of stochastic models used in studies of high-speed networks and apply it to the approximate analysis of a statistical multiplexer

Keywords

approximation theory; asynchronous transfer mode; multiplexing equipment; stochastic processes; switching networks; telecommunication networks; telecommunication traffic; ATM network; approximate analysis; asynchronous transfer mode; call arrival processes; cells; high speed links; high speed network traffic; network dimensioning; network resource allocation; peakedness theory; statistical multiplexer; stochastic models; teletraffic; traffic characterization; trunk group; Asynchronous transfer mode; Fluid flow; High-speed networks; Multiplexing; Random processes; Resource management; Scholarships; Stochastic processes; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on

Conference_Location

Whistler, BC

Print_ISBN

0-7803-2453-6

Type

conf

DOI

10.1109/ISIT.1995.531144

Filename

531144