Modeling high-speed network traffic with truncated α-stable processes

  • Lin Bai
  • , Wenyang Guan
  • , Chen Chen*
  • , Jianhua He
  • , Rui Wang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It has been reported that high-speed communication network traffic exhibits both long-range dependence (LRD) and burstiness, which posed new challenges in network engineering. While many models have been studied in capturing the traffic LRD, they are not capable of capturing efficiently the traffic impulsiveness. It is desirable to develop a model that can capture both LRD and burstiness. In this letter, we propose a truncated α-stable LRD process model for this purpose, which can characterize both LRD and burstiness accurately. A procedure is developed further to estimate the model parameters from real traffic. Simulations demonstrate that our proposed model has a higher accuracy compared to existing models and is flexible in capturing the characteristics of high-speed network traffic.

Original languageEnglish
Title of host publicationFuture Communication, Computing, Control and Management
Pages599-603
Number of pages5
EditionVOL. 1
DOIs
StatePublished - 2012
Event2011 International Conference on Future Communication, Computing, Control and Management, ICF4C 2011 - Phuket, Thailand
Duration: 16 Dec 201117 Dec 2011

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 1
Volume141 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2011 International Conference on Future Communication, Computing, Control and Management, ICF4C 2011
Country/TerritoryThailand
CityPhuket
Period16/12/1117/12/11

Keywords

  • System modeling
  • network traffic modeling
  • truncated α-stable processes

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