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

Lin Bai, Wenyang Guan, Chen Chen, Jianhua He, Rui Wang

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-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 a-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
EditorsYing Zhang
Place of PublicationLondon (UK)
PublisherSpringer
Pages599-603
Number of pages5
ISBN (Electronic)978-3-642-27311-7
ISBN (Print)978-3-642-27310-0
DOIs
Publication statusPublished - 1 Jan 2012

Publication series

NameLecture notes in electrical engineering
PublisherSpringer
Volume141
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

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