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

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

doi:10.1007/978-3-642-27311-7_80

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

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

Adaptive Communications Networks Research Group

Research output: Chapter in Book/Published conference output › Chapter (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 language	English
Title of host publication	Future communication, computing, control and management
Editors	Ying Zhang
Place of Publication	London (UK)
Publisher	Springer
Pages	599-603
Number of pages	5
ISBN (Electronic)	978-3-642-27311-7
ISBN (Print)	978-3-642-27310-0
DOIs	https://doi.org/10.1007/978-3-642-27311-7_80
Publication status	Published - 1 Jan 2012

Publication series

Name	Lecture notes in electrical engineering
Publisher	Springer
Volume	141
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

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10.1007/978-3-642-27311-7_80

Cite this

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title = "Modeling high-speed network traffic with truncated α-stable processes",

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.",

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Modeling high-speed network traffic with truncated α-stable processes. / Bai, Lin; Guan, Wenyang; Chen, Chen et al.
Future communication, computing, control and management. ed. / Ying Zhang. London (UK): Springer, 2012. p. 599-603 (Lecture notes in electrical engineering; Vol. 141).

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

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

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