Fast simulation of self-similar traffic

Jung Shian Li, Adam Wolisz, Radu Popescu-Zeletin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper has two parts: Firstly, we investigate today's ATM network, especially the most load NFS applications. Secondly, we propose a fast simulation based on fractional ARIMA processes and an importance sampling scheme. In our collected data, we have found the traffic characteristics of today's ATM network present both long range dependence (LRD) and short range dependence (SRD) structures. Because of the strong SRD and LRD of the empirical traces, models which can present both LRD and SRD are necessary to simulate the traffic of today's networks. However, traditional Monte Carlo simulations with long range dependent structure make the cost of the computation very large and for CLP (cell loss probability)<10-9 traditional Monte Carlo simulations are almost impossible to achieve it. The proposed fast ARIMA simulation based on importance sampling efficient to simulate the queuing performance with self-similar inputs which exhibit both SRD and LRD properties.

Original languageEnglish
Title of host publicationICC 1998 - 1998 IEEE International Conference on Communications
Subtitle of host publicationNew Century Communications, Conference Record; Affiliated with SUPERCOMM 1998
Pages1829-1833
Number of pages5
DOIs
Publication statusPublished - 1998 Dec 1
Event1998 IEEE International Conference on Communications: New Century Communications, ICC 1998 - Affiliated with SUPERCOMM 1998 - Atlanta, GA, United States
Duration: 1998 Jun 71998 Jun 11

Publication series

NameInternational Conference on Communications - Proceedings
Volume3

Other

Other1998 IEEE International Conference on Communications: New Century Communications, ICC 1998 - Affiliated with SUPERCOMM 1998
CountryUnited States
CityAtlanta, GA
Period98-06-0798-06-11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Engineering(all)

Fingerprint Dive into the research topics of 'Fast simulation of self-similar traffic'. Together they form a unique fingerprint.

Cite this